CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>KONSTANTINOS MOUSTRIS | University of West Attica / Πανεπιστήμιο Δυτικής Αττικής - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="y8wsaLsaKoabFliKyA89tM36up5IXAr1hYLEn7H6fxxxbkujcnZbPtxaBS5Hodt8B6k3acuRtgbLjzGhmQCKDA" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-3d36c19b4875b226bfed0fcba1dcea3f2fe61148383d97c0465c016b8c969290.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-79e78ce59bef0a338eb6540ec3d93b4a7952115b56c57f1760943128f4544d42.css" /><script type="application/ld+json">{"@context":"https://schema.org","@type":"ProfilePage","mainEntity":{"@context":"https://schema.org","@type":"Person","name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS","image":"https://0.academia-photos.com/31436813/19103954/143282968/s200_konstantinos.moustris.jpg","sameAs":[]},"dateCreated":"2015-05-22T23:59:53-07:00","dateModified":"2024-04-28T06:24:59-07:00","name":"KONSTANTINOS MOUSTRIS","description":"Dr. Konstantinos Moustris, is a Professor at the Mechanical Engineering Department, School of Engineering, University of West Attica (UNIWA). He is the Head Professor of the Air Pollution Laboratory. Dr Konstantinos P. Moustris holds a BSc in Physics, MSc in Environmental Physics and Meteorology and a PhD in environmental sciences and artificial neural networks modeling.He has published 46 original scientific papers in international peer-reviewed journals. He has 65 presentations of scientific works in international conferences with reviewers and proceedings system as well as 8 presentations of scientific works in national conferences.","image":"https://0.academia-photos.com/31436813/19103954/143282968/s200_konstantinos.moustris.jpg","thumbnailUrl":"https://0.academia-photos.com/31436813/19103954/143282968/s65_konstantinos.moustris.jpg","primaryImageOfPage":{"@type":"ImageObject","url":"https://0.academia-photos.com/31436813/19103954/143282968/s200_konstantinos.moustris.jpg","width":200},"sameAs":[],"relatedLink":"https://www.academia.edu/118207429/Artificial_Neural_Network_Models_for_the_Estimation_of_Air_Temperature_Cooling_and_Warming_Patterns_Inside_Urban_Clusters_The_Case_of_Courtyards_in_Athens_Greece"}</script><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-95367dc03b794f6737f30123738a886cf53b7a65cdef98a922a98591d60063e3.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-8c9ae4b5c8a2531640c354d92a1f3579c8ff103277ef74913e34c8a76d4e6c00.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/body-170d1319f0e354621e81ca17054bb147da2856ec0702fe440a99af314a6338c5.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/text_button-d1941ab08e91e29ee143084c4749da4aaffa350a2ac6eec2306b1d7a352d911a.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-2b6f90dbd75f5941bc38f4ad716615f3ac449e7398313bb3bc225fba451cd9fa.css" /> <meta name="author" content="konstantinos moustris" /> <meta name="description" content="Dr. Konstantinos Moustris, is a Professor at the Mechanical Engineering Department, School of Engineering, University of West Attica (UNIWA). He is the Head…" /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = '107520bac59918e2ceae62eaadd15bff3d1e7904'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":13997,"monthly_visitors":"111 million","monthly_visitor_count":111388986,"monthly_visitor_count_in_millions":111,"user_count":284038486,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1740913354000); window.Aedu.timeDifference = new Date().getTime() - 1740913354000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link rel="preload" href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" as="style" onload="this.rel='stylesheet'"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-1eb081e01ca8bc0c1b1d866df79d9eb4dd2c484e4beecf76e79a7806c72fee08.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-a7f06b7b91deb14294c0fd04acc3d1303a356edfef84048171548420b79efa13.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-caa56a0f54c25da9fc0ce496a02fe99f5ff17476fd61737267d5dfef010828de.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/hc/en-us"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-0ceb3be4b43a1e81bd83edaf59acf60dd046a0a3ef0d3b827386b5556dbaf5c2.js" defer="defer"></script><script>$viewedUser = Aedu.User.set_viewed( {"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS","photo":"https://0.academia-photos.com/31436813/19103954/143282968/s65_konstantinos.moustris.jpg","has_photo":true,"department":{"id":2429820,"name":"Mechanical Εngineering","url":"https://uniwa.academia.edu/Departments/Mechanical_%CE%95ngineering/Documents","university":{"id":7425,"name":"University of West Attica / Πανεπιστήμιο Δυτικής Αττικής","url":"https://uniwa.academia.edu/"}},"position":"Faculty Member","position_id":1,"is_analytics_public":false,"interests":[{"id":101626,"name":"Publisher","url":"https://www.academia.edu/Documents/in/Publisher"},{"id":16153,"name":"International Mangement","url":"https://www.academia.edu/Documents/in/International_Mangement"},{"id":1241,"name":"Knowledge Management","url":"https://www.academia.edu/Documents/in/Knowledge_Management"},{"id":38,"name":"Management","url":"https://www.academia.edu/Documents/in/Management"},{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS","location":"/KONSTANTINOSMOUSTRIS","scheme":"https","host":"uniwa.academia.edu","port":null,"pathname":"/KONSTANTINOSMOUSTRIS","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-e0f86c28-e52f-40d3-9d8f-f4a1b4fe0936"></div> <div id="ProfileCheckPaperUpdate-react-component-e0f86c28-e52f-40d3-9d8f-f4a1b4fe0936"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="KONSTANTINOS MOUSTRIS" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/31436813/19103954/143282968/s200_konstantinos.moustris.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">KONSTANTINOS MOUSTRIS</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://uniwa.academia.edu/">University of West Attica / Πανεπιστήμιο Δυτικής Αττικής</a>, <a class="u-tcGrayDarker" href="https://uniwa.academia.edu/Departments/Mechanical_%CE%95ngineering/Documents">Mechanical Εngineering</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="KONSTANTINOS" data-follow-user-id="31436813" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="31436813"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">34</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">15</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">10</p></div></a><div class="js-mentions-count-container" style="display: none;"><a href="/KONSTANTINOSMOUSTRIS/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data"></p></div></a></div><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">Dr. Konstantinos Moustris, is a Professor at the Mechanical Engineering Department, School of Engineering, University of West Attica (UNIWA). He is the Head Professor of the Air Pollution Laboratory. Dr Konstantinos P. Moustris holds a BSc in Physics, MSc in Environmental Physics and Meteorology and a PhD in environmental sciences and artificial neural networks modeling.He has published 46 original scientific papers in international peer-reviewed journals. He has 65 presentations of scientific works in international conferences with reviewers and proceedings system as well as 8 presentations of scientific works in national conferences.<br /><b>Address: </b>Greece<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="suggested-academics-container"><div class="suggested-academics--header"><p class="ds2-5-body-md-bold">Related Authors</p></div><ul class="suggested-user-card-list"><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://smu-ca.academia.edu/AlbertMills"><img class="profile-avatar u-positionAbsolute" alt="Albert Mills" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/12306/4103/19908545/s200_albert.mills.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://smu-ca.academia.edu/AlbertMills">Albert Mills</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Saint Mary's University (Canada)</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://cresc.academia.edu/TimothyDevinney"><img class="profile-avatar u-positionAbsolute" alt="Timothy Devinney" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/36529/12120/11378/s200_timothy.devinney.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://cresc.academia.edu/TimothyDevinney">Timothy Devinney</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Manchester</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://sheffield.academia.edu/ColinWilliams"><img class="profile-avatar u-positionAbsolute" alt="Colin Williams" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/76827/21270/832753/s200_colin.williams.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://sheffield.academia.edu/ColinWilliams">Colin Williams</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">The University of Sheffield</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://ksu.academia.edu/DavidSeamon"><img class="profile-avatar u-positionAbsolute" alt="David Seamon" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/93547/25922/29662134/s200_david.seamon.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ksu.academia.edu/DavidSeamon">David Seamon</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Kansas State University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://cria.academia.edu/ArmandoMarquesGuedes"><img class="profile-avatar u-positionAbsolute" alt="Armando Marques-Guedes" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/134181/3401094/148494125/s200_armando.marques-guedes.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://cria.academia.edu/ArmandoMarquesGuedes">Armando Marques-Guedes</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">UNL - New University of Lisbon</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://ehu.academia.edu/NoeCornago"><img class="profile-avatar u-positionAbsolute" alt="Noe Cornago" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/171812/147649/155481903/s200_noe.cornago.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://ehu.academia.edu/NoeCornago">Noe Cornago</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of the Basque Country, Euskal Herriko Unibertsitatea</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://vtu.academia.edu/naveennoronha"><img class="profile-avatar u-positionAbsolute" alt="naveen noronha" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/463750/141481210/130975134/s200_naveen.noronha.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://vtu.academia.edu/naveennoronha">naveen noronha</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Visvesvaraya Technological University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://teknologimalaysia.academia.edu/RoseAlindaAlias"><img class="profile-avatar u-positionAbsolute" alt="Rose Alinda Alias" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/993739/665784/16608381/s200_rose_alinda.alias.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://teknologimalaysia.academia.edu/RoseAlindaAlias">Rose Alinda Alias</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universiti Teknologi Malaysia - UTM</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://utexas.academia.edu/RichardCrawford"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://utexas.academia.edu/RichardCrawford">Richard Crawford</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">The University of Texas at Austin</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://iitm.academia.edu/CPadmanabhan"><img class="profile-avatar u-positionAbsolute" alt="Chandramouli Padmanabhan" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/7465886/15348047/15994622/s200_chandramouli.padmanabhan.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://iitm.academia.edu/CPadmanabhan">Chandramouli Padmanabhan</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">IIT Madras</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="31436813" href="https://www.academia.edu/Documents/in/Publisher"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS","location":"/KONSTANTINOSMOUSTRIS","scheme":"https","host":"uniwa.academia.edu","port":null,"pathname":"/KONSTANTINOSMOUSTRIS","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Publisher"]}" data-trace="false" data-dom-id="Pill-react-component-4b0bbb70-d978-43a9-bf5d-4ed9dd12d12e"></div> <div id="Pill-react-component-4b0bbb70-d978-43a9-bf5d-4ed9dd12d12e"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="31436813" href="https://www.academia.edu/Documents/in/International_Mangement"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["International Mangement"]}" data-trace="false" data-dom-id="Pill-react-component-48b1f344-ca87-4b63-98ea-7f9d8f003f1f"></div> <div id="Pill-react-component-48b1f344-ca87-4b63-98ea-7f9d8f003f1f"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="31436813" href="https://www.academia.edu/Documents/in/Knowledge_Management"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Knowledge Management"]}" data-trace="false" data-dom-id="Pill-react-component-829b7f14-e7b4-4a26-8ceb-2857439a1137"></div> <div id="Pill-react-component-829b7f14-e7b4-4a26-8ceb-2857439a1137"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="31436813" href="https://www.academia.edu/Documents/in/Management"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Management"]}" data-trace="false" data-dom-id="Pill-react-component-78ea1691-4925-442e-918d-b40f2c9e5cf1"></div> <div id="Pill-react-component-78ea1691-4925-442e-918d-b40f2c9e5cf1"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="31436813" href="https://www.academia.edu/Documents/in/Mechanical_Engineering"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Mechanical Engineering"]}" data-trace="false" data-dom-id="Pill-react-component-912d2482-2a33-43e1-b4db-a9fb07584442"></div> <div id="Pill-react-component-912d2482-2a33-43e1-b4db-a9fb07584442"></div> </a></div></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="left-most js-UserInfo-social-cv" data-broccoli-component="user-info.cv-button" data-click-track="profile-user-info-cv" data-cv-filename="Moustris_Short_CV.pdf" data-placement="top" data-toggle="tooltip" href="/KONSTANTINOSMOUSTRIS/CurriculumVitae"><button class="ds2-5-text-link ds2-5-text-link--small" style="font-size: 20px; letter-spacing: 0.8px"><span class="ds2-5-text-link__content">CV</span></button></li><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>93</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Conference-Presentations" data-toggle="tab" href="#conferencepresentations" role="tab" title="Conference Presentations"><span>4</span> <span class="ds2-5-body-sm-bold">Conference Presentations</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by KONSTANTINOS MOUSTRIS</h3></div><div class="js-work-strip profile--work_container" data-work-id="118207429"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207429/Artificial_Neural_Network_Models_for_the_Estimation_of_Air_Temperature_Cooling_and_Warming_Patterns_Inside_Urban_Clusters_The_Case_of_Courtyards_in_Athens_Greece"><img alt="Research paper thumbnail of Artificial Neural Network Models for the Estimation of Air Temperature Cooling and Warming Patterns Inside Urban Clusters: The Case of Courtyards in Athens, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/113887758/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207429/Artificial_Neural_Network_Models_for_the_Estimation_of_Air_Temperature_Cooling_and_Warming_Patterns_Inside_Urban_Clusters_The_Case_of_Courtyards_in_Athens_Greece">Artificial Neural Network Models for the Estimation of Air Temperature Cooling and Warming Patterns Inside Urban Clusters: The Case of Courtyards in Athens, Greece</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="15c00e2ea1e28f2a21633a07a7676eaf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887758,"asset_id":118207429,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887758/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207429"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207429"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207429; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207429]").text(description); $(".js-view-count[data-work-id=118207429]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207429; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207429']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "15c00e2ea1e28f2a21633a07a7676eaf" } } $('.js-work-strip[data-work-id=118207429]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207429,"title":"Artificial Neural Network Models for the Estimation of Air Temperature Cooling and Warming Patterns Inside Urban Clusters: The Case of Courtyards in Athens, Greece","internal_url":"https://www.academia.edu/118207429/Artificial_Neural_Network_Models_for_the_Estimation_of_Air_Temperature_Cooling_and_Warming_Patterns_Inside_Urban_Clusters_The_Case_of_Courtyards_in_Athens_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887758,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887758/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887758/download_file","bulk_download_file_name":"Artificial_Neural_Network_Models_for_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887758/pdf-libre.pdf?1714312877=\u0026response-content-disposition=attachment%3B+filename%3DArtificial_Neural_Network_Models_for_the.pdf\u0026Expires=1740916954\u0026Signature=ZpE2GnzaFSo-fjLmh7A~2rElRm3CxxNQ1LB50p-ro9bTPNjR0sm1tTr-zXsExbI-PCT9vFRcPehOQePFo-fjmRp32tb8lYIWIAMm0WK1BmfRpQ69~V-a1opwI6FKzCg0Hts9AC866KyRndBtlCM4LwMn1r8bx1XvVQ6fIeqpWDpR-JqUquAYJ6lD5bBxaNi-YHrTuTSqhKs9qusMZ4UwtMRahFMPsbz4LPRZwIM2vJj4E8-kTH2VAuDqvfX0cJ7jCCi2hS81XSRH2OrplAMLT9YtCnGFgSHyRnL23KO5UHZHy3wWZVpGUYav~wKJXvHc-rSkUAROdwZ2NvW0KWWcSA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207428"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207428/The_Quality_of_the_Atmospheric_Environment_during_Periods_of_Confinement_Due_to_COVID_19_in_the_Attica_Basin"><img alt="Research paper thumbnail of The Quality of the Atmospheric Environment during Periods of Confinement Due to COVID-19 in the Attica Basin" class="work-thumbnail" src="https://attachments.academia-assets.com/113887756/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207428/The_Quality_of_the_Atmospheric_Environment_during_Periods_of_Confinement_Due_to_COVID_19_in_the_Attica_Basin">The Quality of the Atmospheric Environment during Periods of Confinement Due to COVID-19 in the Attica Basin</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="80765347bcace6be79187e0e567b62bd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887756,"asset_id":118207428,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887756/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207428"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207428"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207428; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207428]").text(description); $(".js-view-count[data-work-id=118207428]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207428; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207428']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "80765347bcace6be79187e0e567b62bd" } } $('.js-work-strip[data-work-id=118207428]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207428,"title":"The Quality of the Atmospheric Environment during Periods of Confinement Due to COVID-19 in the Attica Basin","internal_url":"https://www.academia.edu/118207428/The_Quality_of_the_Atmospheric_Environment_during_Periods_of_Confinement_Due_to_COVID_19_in_the_Attica_Basin","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887756,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887756/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887756/download_file","bulk_download_file_name":"The_Quality_of_the_Atmospheric_Environme.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887756/pdf-libre.pdf?1714312887=\u0026response-content-disposition=attachment%3B+filename%3DThe_Quality_of_the_Atmospheric_Environme.pdf\u0026Expires=1740901215\u0026Signature=HbjWV68gq9TceUa6U6UHZ8KASOgI0V7Vyk1cqfN8j~7ZYSVmd-yxHmy-jBwm8V6PNPIc7K2si6Kvb3oxxY--wDK95NTLq95IosJOmCFkQ2CMjLS-tfa3laJCxPkjmyYqjvJJS7~S8Q1jM2je8k-~O9VrTlfrTcjWFVpMUEFLIiNc4~fOTYrq8B9zefERWdMEcPMNpXcD06CRWA8s1L7u1niYxgogRo3NnPqGv9qiPAajCyqaqcId5qiCzkDlYffETlN7I09r7mPWurNa7Vf9pAJe1ZRjtMJ~BrheTcvHtW97KHqYixx0tpm6WOOY-a3JqE0nqUBLA-SVOA0HmtFMQQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207427"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207427/The_Influence_of_Ozone_Concentrations_on_Public_Health_over_the_Greater_Athens_Area_Greece"><img alt="Research paper thumbnail of The Influence of Ozone Concentrations on Public Health over the Greater Athens Area, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/113887755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207427/The_Influence_of_Ozone_Concentrations_on_Public_Health_over_the_Greater_Athens_Area_Greece">The Influence of Ozone Concentrations on Public Health over the Greater Athens Area, Greece</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="aa04c905ebad0d26e6b30fafddcf1b81" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887755,"asset_id":118207427,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887755/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207427"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207427"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207427; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207427]").text(description); $(".js-view-count[data-work-id=118207427]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207427; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207427']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "aa04c905ebad0d26e6b30fafddcf1b81" } } $('.js-work-strip[data-work-id=118207427]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207427,"title":"The Influence of Ozone Concentrations on Public Health over the Greater Athens Area, Greece","internal_url":"https://www.academia.edu/118207427/The_Influence_of_Ozone_Concentrations_on_Public_Health_over_the_Greater_Athens_Area_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887755,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887755/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887755/download_file","bulk_download_file_name":"The_Influence_of_Ozone_Concentrations_on.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887755/pdf-libre.pdf?1714312886=\u0026response-content-disposition=attachment%3B+filename%3DThe_Influence_of_Ozone_Concentrations_on.pdf\u0026Expires=1740916954\u0026Signature=HfhIm5hG~f9er857-0o3lKv5Bo3QI6CMCkbGsyfibVJT4NbTulGNZxe~wjaTGRQNGlG5hvsYjKOKcAgr5XpypsyzcqC4wk~TkMH2~O6q9QgBewvg7iS2GS679bih~EsJq~EljxECxOwD9uQ-rkwDTgFr7gGTgQsuPDbu9hylYzReu8CJFPByqkFE~tM0Yy-EymxpQb2V6xmKXSbiaLZSPVG-2-nBRErbL9RT0tzLFe2~4ymrRKf68nsrME409~8VBYqulu2rxn4HOAjNVdYEWDq7Qd~o8Zg6JhhQ7Lt7RVJesSp~X~klsgiC9hHsFqadBXC7VJAd51vNrQbrS4QlMQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113887757,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887757/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887757/download_file","bulk_download_file_name":"The_Influence_of_Ozone_Concentrations_on.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887757/pdf-libre.pdf?1714312886=\u0026response-content-disposition=attachment%3B+filename%3DThe_Influence_of_Ozone_Concentrations_on.pdf\u0026Expires=1740916954\u0026Signature=UVcfnkJfMfufC4nfF1b3Tu~qq-7auEVV9oE1GQjflDI2XiZ4rjJS7txQ9rVgWOgVtfDN10E9qtgSFktBrgA3sUyJBVpimbkvD4--sC9NQYnPQeijB2zf8-1Fz-VRmkNb-1V3MHD8AZagAzM7sWHoaVIqwcC0F2OjIPHKmeAE~GX73rU2OdshUV5u2Rj2Q8NeF2gxhCvJTuhVGVRnemUZu7Nw6PPuFvBSYOyvJlaSIY38uDVrYCw51TEpfmprre2h9cRsvFY8B0zUTSt8mdhlTqQk0R5-qt59q9slLYzXxqxUovs3MTvBTEkbWMYyJoxXAU~qpkMouIV24UQG72azrg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207426"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207426/Estimating_the_Air_Pollution_Intake_Dose_in_Three_Port_Cities_in_Europe_with_the_Use_of_Ambient_Fine_Particulate_Matter_Measurements_from_Low_Cost_Sensors"><img alt="Research paper thumbnail of Estimating the Air Pollution Intake Dose in Three Port Cities in Europe with the Use of Ambient Fine Particulate Matter Measurements from Low-Cost Sensors" class="work-thumbnail" src="https://attachments.academia-assets.com/113887750/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207426/Estimating_the_Air_Pollution_Intake_Dose_in_Three_Port_Cities_in_Europe_with_the_Use_of_Ambient_Fine_Particulate_Matter_Measurements_from_Low_Cost_Sensors">Estimating the Air Pollution Intake Dose in Three Port Cities in Europe with the Use of Ambient Fine Particulate Matter Measurements from Low-Cost Sensors</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b04ad0c018301c0faae3a80065579f05" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887750,"asset_id":118207426,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887750/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207426"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207426"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207426; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207426]").text(description); $(".js-view-count[data-work-id=118207426]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207426; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207426']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b04ad0c018301c0faae3a80065579f05" } } $('.js-work-strip[data-work-id=118207426]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207426,"title":"Estimating the Air Pollution Intake Dose in Three Port Cities in Europe with the Use of Ambient Fine Particulate Matter Measurements from Low-Cost Sensors","internal_url":"https://www.academia.edu/118207426/Estimating_the_Air_Pollution_Intake_Dose_in_Three_Port_Cities_in_Europe_with_the_Use_of_Ambient_Fine_Particulate_Matter_Measurements_from_Low_Cost_Sensors","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887750,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887750/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887750/download_file","bulk_download_file_name":"Estimating_the_Air_Pollution_Intake_Dose.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887750/pdf-libre.pdf?1714312883=\u0026response-content-disposition=attachment%3B+filename%3DEstimating_the_Air_Pollution_Intake_Dose.pdf\u0026Expires=1740916954\u0026Signature=DP9SxdU4oQ1Fwu-LLfzuQEOlG5e8i9r0Ka-JJCY6AZTkwfOXVvzC1AE2exPNIp87duwTQKtt3TZOn15heKwTED4uXczlXNRLP4LO0A3uiN-UFcJ~3x6-QKMS9MU1HIzMgAA6r9qSzVtz3PvdzgJtmZeM4MPMdBBIo2CBrRGq5~BysAwj5EtdsqAiOBOvQHCz8J0rSrMYsNPIRJb4jid5wkpASImLxI0l31m9ZG4cMfh38nriOkvUXfpj06y8G0etsNb0L8NSvxAkeIhBzYi9qGfl0R1QE6JJ8UUW8jvaSLY8z0lNYFTUePrdoN-G1NgRFtsnZuee675t1yEv0L~PrA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113887752,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887752/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887752/download_file","bulk_download_file_name":"Estimating_the_Air_Pollution_Intake_Dose.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887752/pdf-libre.pdf?1714312884=\u0026response-content-disposition=attachment%3B+filename%3DEstimating_the_Air_Pollution_Intake_Dose.pdf\u0026Expires=1740916954\u0026Signature=fbf43XFKcfjw-kWOHtRVsuAd6N4kC8kMvqrMpPVafkvWr4ys9~SIc8JVd4r1GYtZw-B1Xp1njeW2Led95XpskviLx7L9lcZf0Vk~DDJnEa9rK--j1qWwChA61eI4oXNvQZcGHO7sVHqXx8RNbot7eGR~yJlEsljWvDiO2E4~-Jm-jYLS-VNdF7ldYfu6AEuHhjh4o7oWRHutv3jZST-tJldufgBbpikjxjLHKfUrEzqj8Zi56VXX2mSe7H30lQC1MvL34NTpNG9-cOzl9MnbZr3Lv08OC2HSkz9CbjxXnBRP9R0~FsKFTXCRnZ02mQAYpoiG-dOYjo2J-LNMg02BxQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207425"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207425/Calculation_of_Inhaled_Dose_of_Particulate_Matter_for_Different_Age_Groups_in_the_Metro_Public_Transport_System_in_Athens_Greece"><img alt="Research paper thumbnail of Calculation of Inhaled Dose of Particulate Matter for Different Age Groups in the Metro Public Transport System in Athens, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/113887754/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207425/Calculation_of_Inhaled_Dose_of_Particulate_Matter_for_Different_Age_Groups_in_the_Metro_Public_Transport_System_in_Athens_Greece">Calculation of Inhaled Dose of Particulate Matter for Different Age Groups in the Metro Public Transport System in Athens, Greece</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b06f0834ca4cb53effb380e23300b03e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887754,"asset_id":118207425,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887754/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207425"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207425"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207425; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207425]").text(description); $(".js-view-count[data-work-id=118207425]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207425; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207425']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b06f0834ca4cb53effb380e23300b03e" } } $('.js-work-strip[data-work-id=118207425]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207425,"title":"Calculation of Inhaled Dose of Particulate Matter for Different Age Groups in the Metro Public Transport System in Athens, Greece","internal_url":"https://www.academia.edu/118207425/Calculation_of_Inhaled_Dose_of_Particulate_Matter_for_Different_Age_Groups_in_the_Metro_Public_Transport_System_in_Athens_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887754,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887754/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887754/download_file","bulk_download_file_name":"Calculation_of_Inhaled_Dose_of_Particula.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887754/pdf-libre.pdf?1714312883=\u0026response-content-disposition=attachment%3B+filename%3DCalculation_of_Inhaled_Dose_of_Particula.pdf\u0026Expires=1740916954\u0026Signature=PbbR97~GgyExW9hm1FG6jcpmW87hmPgjn1FCJiGJtIhndY39L9iZWgSgloUL1uxzG04~cLo7CCil7HaWfagPxb5rZxg8weos02~K9Z2bquMxpwQdu0CaADjE2s3JrQP0-d0of6IId5XLk0MG-sP49UBInPgh1rlhbrwDNLQkyn-0dElnr1SpKgX~BysbggYFmHiQ6N3LQBfmKwJnlzWAJF2nFp3slSVF78auCaCYijr-DjH9-e3menlXiUERo41ArCk8e01p32unZkGVbRVVzKLiJFyqN~M1H7LUehPoMM3umiVJTpZNGMp6Wgp7kPkhq0Op7p2qT2AIAiNv~iM8ew__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207424"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207424/Day_Ahead_Forecasting_of_the_Theoretical_and_Actual_Wind_Power_Generation_in_Energy_Constrained_Island_Systems"><img alt="Research paper thumbnail of Day-Ahead Forecasting of the Theoretical and Actual Wind Power Generation in Energy-Constrained Island Systems" class="work-thumbnail" src="https://attachments.academia-assets.com/113887753/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207424/Day_Ahead_Forecasting_of_the_Theoretical_and_Actual_Wind_Power_Generation_in_Energy_Constrained_Island_Systems">Day-Ahead Forecasting of the Theoretical and Actual Wind Power Generation in Energy-Constrained Island Systems</a></div><div class="wp-workCard_item"><span>Energies</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Grid operators of islands with limited system tolerance are often challenged by the need to curta...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Grid operators of islands with limited system tolerance are often challenged by the need to curtail wind energy in order to maintain system stability and security of supply. At the same time, and in the absence of storage facilities and/or other means of flexibility such as demand-side management, wind park owners face the problem of rejected wind energy production that varies considerably within the year. In the prospect of a more dynamic market operation in island grids, estimation of the anticipated wind energy curtailments may allow the evaluation of different options for wind park owners, such as short-term leasing of energy storage and/or direct, bilateral power purchase agreements with flexible demand entities. To enable such options, effective wind energy forecasting is necessary not only in terms of theoretical production, but also in terms of actual production being absorbed by the system. In this direction, the current research works on the prediction of day-ahead wind en...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="135c8ed0ab846c57d5292972595c396a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887753,"asset_id":118207424,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887753/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207424"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207424"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207424; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207424]").text(description); $(".js-view-count[data-work-id=118207424]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207424; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207424']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "135c8ed0ab846c57d5292972595c396a" } } $('.js-work-strip[data-work-id=118207424]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207424,"title":"Day-Ahead Forecasting of the Theoretical and Actual Wind Power Generation in Energy-Constrained Island Systems","internal_url":"https://www.academia.edu/118207424/Day_Ahead_Forecasting_of_the_Theoretical_and_Actual_Wind_Power_Generation_in_Energy_Constrained_Island_Systems","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887753,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887753/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887753/download_file","bulk_download_file_name":"Day_Ahead_Forecasting_of_the_Theoretical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887753/pdf-libre.pdf?1714313034=\u0026response-content-disposition=attachment%3B+filename%3DDay_Ahead_Forecasting_of_the_Theoretical.pdf\u0026Expires=1740916954\u0026Signature=etaDULyHx2qHFcxVc-8Ou8ZlsqeF-8rt26TvzEX3t56ovF5SXAwGjA9-POI79ZikFZkptxBnJ2CLkqWolBrvXN74g7Cuelqf1cK4fnd6HTyxGockZ29jlAjVC~LdVSDIkhyTyqyh3659AMT0o1xQy29k5Wz454EOzrOZQy3570x9F8YqNfljApyrKZPn2pqM9vZMBuFxP5e6WSin9YT~thNXeFxP0UEJnoPrza2NBLvbiRDpndqUxZps72ScBHft8dLaf8Lk4hDMG4gtGULl9rEkdScrrWM3mHKbRADuHJADb~GjKtNtKKVV3WwQydfZQ2rH6b74~0Ic4~xBmGTTnw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113887751,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887751/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887751/download_file","bulk_download_file_name":"Day_Ahead_Forecasting_of_the_Theoretical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887751/pdf-libre.pdf?1714313028=\u0026response-content-disposition=attachment%3B+filename%3DDay_Ahead_Forecasting_of_the_Theoretical.pdf\u0026Expires=1740916954\u0026Signature=NLYKHg-g7d6phZZwCvRmWAVPiEI-ndYME3XhPXll-2T0KMMF6t29GZTHjmozHJ9QiN3vhlXsWcS5DPBD10wuRjtw2K695VTNyKNyRlh9wJbxLipVvAAIcfLdFtRkwZ15o~lNeAaTlXhrY3Y-dE-nlarvP9eegnC-0uLgdvkUKtR~RwL53-NOm68nu42-m~gODc9qHRO3Lgj~FXyFuP8IPq4Cty2lqVe~jVS1BzvdFN2bQqZMfxLugplA8jB7E5WEZ6p9pAw8iOtxE9DqqV9WWOG3csYkysarAD1l~i7P7QSkafIpFTQFqSzXgu2nauQw4701w1xPa~~mon~QjWtliQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207416"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207416/Investigation_into_Atmospheric_Pollution_Impacts_on_Hospital_Admissions_in_Attica_Using_Regression_Models"><img alt="Research paper thumbnail of Investigation into Atmospheric Pollution Impacts on Hospital Admissions in Attica Using Regression Models" class="work-thumbnail" src="https://attachments.academia-assets.com/113887743/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207416/Investigation_into_Atmospheric_Pollution_Impacts_on_Hospital_Admissions_in_Attica_Using_Regression_Models">Investigation into Atmospheric Pollution Impacts on Hospital Admissions in Attica Using Regression Models</a></div><div class="wp-workCard_item"><span>COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3d143d049a6a07c0a1dfc8263e39c0a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887743,"asset_id":118207416,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887743/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207416"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207416"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207416; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207416]").text(description); $(".js-view-count[data-work-id=118207416]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207416; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207416']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3d143d049a6a07c0a1dfc8263e39c0a" } } $('.js-work-strip[data-work-id=118207416]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207416,"title":"Investigation into Atmospheric Pollution Impacts on Hospital Admissions in Attica Using Regression Models","internal_url":"https://www.academia.edu/118207416/Investigation_into_Atmospheric_Pollution_Impacts_on_Hospital_Admissions_in_Attica_Using_Regression_Models","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887743,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887743/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887743/download_file","bulk_download_file_name":"Investigation_into_Atmospheric_Pollution.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887743/pdf-libre.pdf?1714312880=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_into_Atmospheric_Pollution.pdf\u0026Expires=1740901215\u0026Signature=KGenuQOEJ9PAkFouyD4MwCc6gioSQWetlHTv82g5eEDhieFLA6mtfv73zlWvT5TOKzevqytfKBLuN83yIHiQAa8-Au-n4Jtb8Zq0oBEjri3sAFFSRKVuoqXOQpi1YamHvsFUu73cXwE8598jF7cUVm0-HfGASZTPHvT40hx18vLh4pv0yQRa3ybA-kXj6py2i5oLhZ5uc8JpcM-Ff3Br5dfOothAcBuNRdfyCc~pz4fzGNLb2KlAcrJgURqPe4DYt-sCVjB1tLMmAW2cOQ37nWzh6A5n11wK5oTqTAETSPOPrQ6ey5G5j67oHvNdXi0OJIc25JN9d2DXzYZjp5ADLw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96326122"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96326122/Combining_Artificial_Neural_Network_and_Driver_Pressure_State_Impact_Response_Approach_for_Evaluating_a_Mediterranean_Lake"><img alt="Research paper thumbnail of Combining Artificial Neural Network and Driver–Pressure–State–Impact–Response Approach for Evaluating a Mediterranean Lake" class="work-thumbnail" src="https://attachments.academia-assets.com/98255334/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96326122/Combining_Artificial_Neural_Network_and_Driver_Pressure_State_Impact_Response_Approach_for_Evaluating_a_Mediterranean_Lake">Combining Artificial Neural Network and Driver–Pressure–State–Impact–Response Approach for Evaluating a Mediterranean Lake</a></div><div class="wp-workCard_item"><span>Water</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The main objective of this research was to evaluate the surface water system of Lake Vegoritida (...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The main objective of this research was to evaluate the surface water system of Lake Vegoritida (Region of Central Macedonia, Greece). The Driver–Pressure–State–Impact–Response (DPSIR) methodological approach was used. The analysis includes data from three (3) stations monitoring point source pollution and recording the most critical water quality measurement parameters in a time series data analysis from 1983 to 1997. The data will contribute to the analysis and was used to investigate, identify, and evaluate possible sources of chemical and ecological changes recorded in the lake. The artificial neural network (ANN) is a valuable tool for making predictions based on the water quality data set. The findings highlighted the increased concentration of nutrients that contribute to the presence of eutrophic conditions, while their seasonal variability is mainly due to factors, such as water level fluctuations and biological processes in the lake. The above, combined with the critical b...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4392dc55147ba761c9d1ca76ed4e7319" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98255334,"asset_id":96326122,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98255334/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96326122"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96326122"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96326122; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96326122]").text(description); $(".js-view-count[data-work-id=96326122]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96326122; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96326122']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4392dc55147ba761c9d1ca76ed4e7319" } } $('.js-work-strip[data-work-id=96326122]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96326122,"title":"Combining Artificial Neural Network and Driver–Pressure–State–Impact–Response Approach for Evaluating a Mediterranean Lake","internal_url":"https://www.academia.edu/96326122/Combining_Artificial_Neural_Network_and_Driver_Pressure_State_Impact_Response_Approach_for_Evaluating_a_Mediterranean_Lake","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":98255334,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98255334/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/98255334/download_file","bulk_download_file_name":"Combining_Artificial_Neural_Network_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98255334/pdf-libre.pdf?1675594829=\u0026response-content-disposition=attachment%3B+filename%3DCombining_Artificial_Neural_Network_and.pdf\u0026Expires=1740901215\u0026Signature=O9RKsZzjPzyrzPggkm2Qz4RhNGzKwlVS8pounFWD4~6fVSScyUhBlWBxbhKG~pthHCOOJrDPY8B1WE6PoXuXN~B9S-C~UomGaQnYQ0T8sf1UI0~dc8G8RJmoD5KnKA--92F3QwKcB9CQBLYngeVhWdVwZaw0DIh~HKIFWkDadFUbV1izHfthgUVO1i0NBgnLNdwAnU-NpUT05zay~grfzghpwEkClh9q-XPTHnrDxhiNeb4~mfnmuSpY64sHCF3Nr7HWqGJEeI~LviJZA0584q1W7QTqtIUIg~5mMkglU0Xn2uoeosGPrkmgwHF1SroqoM1NLoqiQMOQC3SuYthkfg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":98255335,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98255335/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/98255335/download_file","bulk_download_file_name":"Combining_Artificial_Neural_Network_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98255335/pdf-libre.pdf?1675594836=\u0026response-content-disposition=attachment%3B+filename%3DCombining_Artificial_Neural_Network_and.pdf\u0026Expires=1740901215\u0026Signature=gafGe~MON8mR-z7-d0JNUoP-CQinE24jedCJPT56ILcYCmG3zZwMkKBHLqoiUewiTuPped5K-lOuNFLqwkZuZgpMotQeXcrA7tDEx2lnEBblR0UwEZNsQjCsBtsXVSvdF65nC1d2sBX8ElQn1f~buYN-MvDNEqZVFMYQk7Gji4507gGGbuP9weE6RzTep2cz5nANMRQqdbqX-2wRkPXQ0rQr~OYDLJSBxapH0XuACY4JGzxIdxCdSN5ujpU2P9KgO4cZ~UNeMXDPKaZWWNzGqYfFk-FDL8QheLm5giXKo23yB3KVBUJ1t1wu0O56X-gKxuO-12fy0mBd8S~dGF~Wwg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458382"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82458382/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece"><img alt="Research paper thumbnail of Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88161601/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82458382/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece">Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece</a></div><div class="wp-workCard_item"><span>Land</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet ov...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet over the last ~30 years, which is next used for the generation of high granularity fleet projections, the assessment of associated air pollution and the estimation of relevant environmental benefits by 2030. The integrated methodology developed takes also into account vehicle clustering and the Brown’s Double Simple Exponential Smoothing technique that, together with the adoption of COPERT-based emission factors, allow for the estimation of the anticipated emissions in 2030. Expected 2030 emissions levels suggest a reduction across all pollutants compared to 2018, ranging from 3.7% for PM10 to 54.5% for NMVOC (and 46% for CO, 14% for SO2, 28% for NOX and 21% for CO2). We find that Greece is on track with national goals concerning the reduction of air pollution from the transportation sector, which designates the positive contribution anticipated by EVs and new, “greener” vehicles, and sets...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="76f7353fe1a13a155119392ae69e3417" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161601,"asset_id":82458382,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161601/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458382"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458382"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458382; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458382]").text(description); $(".js-view-count[data-work-id=82458382]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458382; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458382']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "76f7353fe1a13a155119392ae69e3417" } } $('.js-work-strip[data-work-id=82458382]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458382,"title":"Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece","internal_url":"https://www.academia.edu/82458382/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161601,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161601/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161601/download_file","bulk_download_file_name":"Transportation_and_Air_Quality_Perspecti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161601/pdf-libre.pdf?1656696144=\u0026response-content-disposition=attachment%3B+filename%3DTransportation_and_Air_Quality_Perspecti.pdf\u0026Expires=1740916954\u0026Signature=fqrZaFLNrI7m-Xik9T2X~2YgK~3eIGwEwV5-0jKPNF9kTbTBl-G~PQOIf7JlXjOEqA-CxlCfX8j3ah9sO5sNAxu0ATbn7FB3QgX~0F15qmNx0Mb7LKP0GtBJgcroH66plaLKHTPsyVEItt9YCrzCLUjTDfnwIzg3fx6RUWmRSqkdd96VJ9cA77Dn8151ZVINoAUOCSLKLZdHTQQ1rmLIOngLgv4eBB5kRDiV4II6Hx8UaKA0clYbY~Lr6~FBl8oBFFwK-lUcQp78pexXKfqkh9YZJcIiU5STCn4ZGhZDBnPwyr8VLNIKvjWMFJIgTVoF83hTWhZqMH8wwhx0xyZcpA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458319"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82458319/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region"><img alt="Research paper thumbnail of Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region" class="work-thumbnail" src="https://attachments.academia-assets.com/88161633/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82458319/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region">Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region</a></div><div class="wp-workCard_item"><span>Energy Procedia</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">District heating networks are commonly addressed in the literature as one of the most effective s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a70d649e9d1839ce9d00f41d5adaeecf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161633,"asset_id":82458319,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161633/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458319"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458319"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458319; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458319]").text(description); $(".js-view-count[data-work-id=82458319]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458319; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458319']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a70d649e9d1839ce9d00f41d5adaeecf" } } $('.js-work-strip[data-work-id=82458319]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458319,"title":"Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region","internal_url":"https://www.academia.edu/82458319/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161633,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161633/thumbnails/1.jpg","file_name":"Published_Version.pdf","download_url":"https://www.academia.edu/attachments/88161633/download_file","bulk_download_file_name":"Assessing_the_Status_of_Electricity_Gene.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161633/Published_Version-libre.pdf?1656696126=\u0026response-content-disposition=attachment%3B+filename%3DAssessing_the_Status_of_Electricity_Gene.pdf\u0026Expires=1740901215\u0026Signature=GcRpYVCpxzHpGUHZY4O5SBQ5ssODf8-rGXtj-MSb0YCZLRK9iwYfidGC6HE0xS6LfdNf92jKlt8gWSSw4nbbwLci-zZ~Lq4VBfQAoKhfRUBxbz-c1ntzsMy7ImImJ0ocBqoxspDV-Qe3vIXG2xVHgwMDw8s7DlqnSz3IysEzbUnxi~vVWJTVmgYTamgcdc2lwBXBO1DleE-wnk3fo6tMYSyp6YDbqZizQJIBvhvYeyKLdmRmJUUPw2HTXhqzm8uKwiuTrbtZhlepQ~daKbthe1UDGsBowN8xu2U2Clm8hA6rWqebrAEXOXNphn~y4C96TDuhmZNvYUkBFOvNUP~ZOw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458267"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82458267/Development_of_Realistic_Demand_Side_Management_Strategies_Using_Artificial_Neural_Networks_for_the_Production_of_Informative_Wind_Speed_Prediction_Signals"><img alt="Research paper thumbnail of Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals" class="work-thumbnail" src="https://attachments.academia-assets.com/88161599/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82458267/Development_of_Realistic_Demand_Side_Management_Strategies_Using_Artificial_Neural_Networks_for_the_Production_of_Informative_Wind_Speed_Prediction_Signals">Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals</a></div><div class="wp-workCard_item"><span>Renewable Energy in the Service of Mankind Vol I</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Urgency to achieve large-scale integration of the stochastic wind energy production calls among o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Urgency to achieve large-scale integration of the stochastic wind energy production calls among others for the employment of novel solutions including energy storage, upgrade of electricity grids and application of effective demand side management. To this end, the problem of limited wind energy integration becomes even more severe in isolated island regions, owed to the weak character of local electricity grids. For this purpose, the current study emphasizes on the need for the production of adequately reliable forecasting wind speed signals that can in turn inform the development of appropriate energy, and especially demand side management strategies. In this context, we use artificial neural networks and provide prediction of wind speed for three different island locations of the Aegean Sea, evaluating wind speed signals for one to 10-hours ahead. Our results demonstrate that wind speed predictions up to even 3-hours ahead can sufficiently inform the development of appropriate energy management strategies, designating the potential of ANNs in the field of wind speed prediction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="35c1acc7d464ec4d0211c563d96a9954" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161599,"asset_id":82458267,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161599/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458267"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458267"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458267; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458267]").text(description); $(".js-view-count[data-work-id=82458267]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458267; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458267']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "35c1acc7d464ec4d0211c563d96a9954" } } $('.js-work-strip[data-work-id=82458267]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458267,"title":"Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals","internal_url":"https://www.academia.edu/82458267/Development_of_Realistic_Demand_Side_Management_Strategies_Using_Artificial_Neural_Networks_for_the_Production_of_Informative_Wind_Speed_Prediction_Signals","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161599,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161599/thumbnails/1.jpg","file_name":"Zafirakis_WREC2014.pdf","download_url":"https://www.academia.edu/attachments/88161599/download_file","bulk_download_file_name":"Development_of_Realistic_Demand_Side_Man.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161599/Zafirakis_WREC2014-libre.pdf?1656697681=\u0026response-content-disposition=attachment%3B+filename%3DDevelopment_of_Realistic_Demand_Side_Man.pdf\u0026Expires=1740901215\u0026Signature=PjOlOb6Zu22NujKzl7YEHPJtAaWqPBvgwgRNHGeHu8hSJW9-h41OGTuodUaYn6OvEaJjhtR8-lmiH8WMJfJAf8cmS~EweODIgk1bv-jzfDHCfFL95dOifCiTxUi1BJ2E5J4zfVeuf2E7n9FoNPbLeVNro4X3b5I2zy5q8OWUn50a~G87EJINbEtg11p5yMozEqejIFhezD47UfPjGUX7sSFMv0bO9BKjOZ2LCOpLCpUL2KLytG5hAgciH-WS5TsBuCb6GzZxSZxHG3gxJUzNVejzEEADe5Tmwb3-bcNWF84-eSHodI0r2OIGxuZ1cM~FHzJHXXcXRDKxcSh0Wx0uTA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458189"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82458189/Radiant_barriers_performance_in_greek_residential_and_non_residential_buildings"><img alt="Research paper thumbnail of Radiant barriers performance in greek residential and non-residential buildings" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82458189/Radiant_barriers_performance_in_greek_residential_and_non_residential_buildings">Radiant barriers performance in greek residential and non-residential buildings</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458189"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458189"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458189; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458189]").text(description); $(".js-view-count[data-work-id=82458189]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458189; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458189']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82458189]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458189,"title":"Radiant barriers performance in greek residential and non-residential buildings","internal_url":"https://www.academia.edu/82458189/Radiant_barriers_performance_in_greek_residential_and_non_residential_buildings","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458114"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82458114/Building_comprehensive_meteorological_data_files_with_the_use_of_Artificial_Neural_Networks"><img alt="Research paper thumbnail of Building comprehensive meteorological data files with the use of Artificial Neural Networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82458114/Building_comprehensive_meteorological_data_files_with_the_use_of_Artificial_Neural_Networks">Building comprehensive meteorological data files with the use of Artificial Neural Networks</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Synoptic meteorological observations all over the world are usually carried out on the basis of 3...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Synoptic meteorological observations all over the world are usually carried out on the basis of 3-hour intervals, as specified by the World Meteorology Organization. However, in many cases, e.g. for the detailed calculation of buildings&#39; energy balance and the energy production of solar power systems, cognition of the hourly time series of some meteorological parameters such as air temperature, air relative humidity, atmospheric pressure, etc. is necessary. For this purpose, in the specific study, artificial neural networks are developed and applied in order to transform 3-hour meteorological data files of air temperature, relative humidity and atmospheric pressure of different regions to full 24-hour data files. The hourly values predicted by the developed artificial neural networks are accordingly compared with the actual hourly values of parameters examined with the results obtained showing a very satisfying agreement at a statistical significance level of p&lt;0.01.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458114"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458114"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458114; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458114]").text(description); $(".js-view-count[data-work-id=82458114]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458114; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458114']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82458114]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458114,"title":"Building comprehensive meteorological data files with the use of Artificial Neural Networks","internal_url":"https://www.academia.edu/82458114/Building_comprehensive_meteorological_data_files_with_the_use_of_Artificial_Neural_Networks","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458067"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82458067/24_Hours_Ahead_Forecasting_of_PM10_Concentrations_Using_Artificial_Neural_Networks_in_the_Greater_Athens_Area_Greece"><img alt="Research paper thumbnail of 24-Hours Ahead Forecasting of PM10 Concentrations Using Artificial Neural Networks in the Greater Athens Area, Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82458067/24_Hours_Ahead_Forecasting_of_PM10_Concentrations_Using_Artificial_Neural_Networks_in_the_Greater_Athens_Area_Greece">24-Hours Ahead Forecasting of PM10 Concentrations Using Artificial Neural Networks in the Greater Athens Area, Greece</a></div><div class="wp-workCard_item"><span>Springer Atmospheric Sciences</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The study of atmospheric concentration levels at a local scale is one of the most import...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The study of atmospheric concentration levels at a local scale is one of the most important topics in environmental sciences. Multivariate analysis, fuzzy logic and neural networks have been introduced in forecasting procedures in order to elaborate operational techniques for level characterization of specific atmo-spheric pollutants at different spatial and temporal scales. Particularly, procedures based on artificial neural networks (ANNs) have been applied with success to forecast concentration levels of PM 10 , CO and O 3 . The present study deals with the development and application of ANN models as a tool to forecast daily concentration levels of PM 10 in five different regions within the greater Athens area (GAA). Modeling was based on mean daily PM 10 concentration, the maximum hourly NO 2 concentration, air temperature, relative humidity, wind speed and the mode daily value of wind direction from five different monitoring stations for the period 2001–2005. Model performance showed that the ANN models could suc-cessfully forecast the risk of daily PM 10 concentration levels exceeding certain thresholds. In addition, despite the limitations of the models, the results of the study, # Springer-Verlag Berlin Heidelberg 2012 1121 demonstrated that ANN models, when adequately trained, could have a high applicability to predict the PM 10 daily concentration 1 day ahead within the GAA.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458067"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458067"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458067; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458067]").text(description); $(".js-view-count[data-work-id=82458067]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458067; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458067']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82458067]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458067,"title":"24-Hours Ahead Forecasting of PM10 Concentrations Using Artificial Neural Networks in the Greater Athens Area, Greece","internal_url":"https://www.academia.edu/82458067/24_Hours_Ahead_Forecasting_of_PM10_Concentrations_Using_Artificial_Neural_Networks_in_the_Greater_Athens_Area_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457924"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82457924/Artificial_neural_networks_modeling_for_forecasting_the_maximum_daily_total_precipitation_at_Athens_Greece"><img alt="Research paper thumbnail of Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82457924/Artificial_neural_networks_modeling_for_forecasting_the_maximum_daily_total_precipitation_at_Athens_Greece">Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece</a></div><div class="wp-workCard_item"><span>Atmospheric Research</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Extreme daily precipitation events are involved in significant environmental damages, ev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Extreme daily precipitation events are involved in significant environmental damages, even in life loss, because of causing adverse impacts, such as flash floods, in urban and sometimes in rural areas. Thus, long-term forecast of such events is of great importance for the preparation of local authorities in order to confront and mitigate the adverse consequences. The objective of this study is to estimate the possibility of forecasting the maximum daily precipitation for the next coming year. For this reason, appropriate prognostic models, such as Artificial Neural Networks (ANNs) were developed and applied. The data used for the analysis concern annual maximum daily precipitation totals, which have been recorded at the National Observatory of Athens (NOA), during the long term period 1891–2009. To evaluate the potential of daily extreme precipitation forecast by the applied ANNs, a different period for validation was considered than the one used for the ANNs training. Thus, the datasets of the period 1891–1980 were used as training datasets, while the datasets of the period 1981–2009 as validation datasets. Appropriate statistical indices, such as the coefficient of determination (R2), the index of agreement (IA), the Root Mean Square Error (RMSE) and the Mean Bias Error (MBE), were applied to test the reliability of the models. The findings of the analysis showed that, a quite satisfactory relationship (R2 = 0.482, IA = 0.817, RMSE = 16.4 mm and MBE = + 5.2 mm) appears between the forecasted and the respective observed maximum daily precipitation totals one year ahead. The developed ANN seems to overestimate the maximum daily precipitation totals appeared in 1988 while underestimate the maximum in 1999, which could be attributed to the relatively low frequency of occurrence of these extreme events within GAA having impact on the optimum training of ANN.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457924"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457924"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457924; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457924]").text(description); $(".js-view-count[data-work-id=82457924]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457924; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457924']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82457924]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457924,"title":"Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece","internal_url":"https://www.academia.edu/82457924/Artificial_neural_networks_modeling_for_forecasting_the_maximum_daily_total_precipitation_at_Athens_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457858"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82457858/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece"><img alt="Research paper thumbnail of Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88161321/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82457858/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece">Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece</a></div><div class="wp-workCard_item"><span>Land</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet ov...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet over the last ~30 years, which is next used for the generation of high granularity fleet projections, the assessment of associated air pollution and the estimation of relevant environmental benefits by 2030. The integrated methodology developed takes also into account vehicle clustering and the Brown’s Double Simple Exponential Smoothing technique that, together with the adoption of COPERT-based emission factors, allow for the estimation of the anticipated emissions in 2030. Expected 2030 emissions levels suggest a reduction across all pollutants compared to 2018, ranging from 3.7% for PM10 to 54.5% for NMVOC (and 46% for CO, 14% for SO2, 28% for NOX and 21% for CO2). We find that Greece is on track with national goals concerning the reduction of air pollution from the transportation sector, which designates the positive contribution anticipated by EVs and new, “greener” vehicles, and sets...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4af7fdd3d8839b05dcabca80020fb194" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161321,"asset_id":82457858,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161321/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457858"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457858"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457858; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457858]").text(description); $(".js-view-count[data-work-id=82457858]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457858; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457858']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4af7fdd3d8839b05dcabca80020fb194" } } $('.js-work-strip[data-work-id=82457858]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457858,"title":"Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece","internal_url":"https://www.academia.edu/82457858/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161321,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161321/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161321/download_file","bulk_download_file_name":"Transportation_and_Air_Quality_Perspecti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161321/pdf-libre.pdf?1656696207=\u0026response-content-disposition=attachment%3B+filename%3DTransportation_and_Air_Quality_Perspecti.pdf\u0026Expires=1740901215\u0026Signature=HU147ClR90SY3ipA2OzlalDh-XVt31yoBsQ6f3A7dbnftF6oj8VK5amE8Gv-jpYKR4tO~Bqu9GNUaj0D9PSFieOhCsRWqd47O3VvEcocXrwPByMO8aoQhVljqvmLktY5Mbd1tcL65GUiCYrxYNSpO5dnfc~-SWL0PXFColqUOjCKsnHLgsN7~L1gY0nR6wFRwURk-zHL8efHCo163w-wHIMbfYhUJ76akGpL~iU5ZUOqS8ouQrziORxx9sdXqAIAfogB62K8a6FXNB5E6IZB16uG1n2-76w-WbpL6tydRvmnzN6f5i8r~h76KLpEl2YDYOfie2hIuTcZJ7sRc56oIA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88161317,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161317/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161317/download_file","bulk_download_file_name":"Transportation_and_Air_Quality_Perspecti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161317/pdf-libre.pdf?1656696207=\u0026response-content-disposition=attachment%3B+filename%3DTransportation_and_Air_Quality_Perspecti.pdf\u0026Expires=1740901215\u0026Signature=CXjbkzXnpKXo-akXcH4m4nhd9GSifIgDaNBNevpaCDdrYDmsnO9cDoDFKijaq51Oig6IywaquORhDswcgZW~hf8RpC41FqyVt-2~XFFWe8lQ6X6Dyq87Z0o9ExVTscJZ3Z7RxwTlpnjBlO-gx4rpJ14iES2b0YEurTsLtPyb8JA4VuaA0iKAxNQm1F7ALJP1UQ-CIG2iksm2XD8OlJ~WUYOlTrLm1DDfXFq7MeHZx0AAhU1aTGByT7kj3YF39bH2yGIY-Ki~zD4FoIWjyOXGmBe~c5yIgQE8ff2VArT-WbT-oNY41FhhsDctXBLlqJzl-qpulp4OxKfBdOW8lEt02Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457849"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82457849/Air_quality_forecasting_in_the_greater_Athens_area_with_the_use_of_neural_networks"><img alt="Research paper thumbnail of Air quality forecasting in the greater Athens area with the use of neural networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82457849/Air_quality_forecasting_in_the_greater_Athens_area_with_the_use_of_neural_networks">Air quality forecasting in the greater Athens area with the use of neural networks</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this Doctoral thesis is the use of artificial neural networks technology (ANNs) as for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this Doctoral thesis is the use of artificial neural networks technology (ANNs) as forecast models for the air quality prediction in the greater Athens area. The term &quot;air quality prediction&quot; includes both the prediction of air pollution during the year and the prediction of human thermal comfort-discomfort, during the hot season of the year in the greater Athens area. For this purpose sixteen (16) Multi-Layer Perceptron ANNs have been created and trained according to the Back Propagation Algorithm. Twelve (12) of the created ANNs predict the air pollution in seven (7) different areas of Athens city for the pollutants CO, NO2, SO2 and O3 and in five (5) different areas of Athens city for the particulate matter (PM10). The prediction also concerns the persistence of the air pollution phenomenon, i.e. the number of the consecutive hours during the day, where the concentration of the pollutants was greater than the concentration limits as established under the Euro...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457849"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457849"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457849; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457849]").text(description); $(".js-view-count[data-work-id=82457849]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457849; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457849']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82457849]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457849,"title":"Air quality forecasting in the greater Athens area with the use of neural networks","internal_url":"https://www.academia.edu/82457849/Air_quality_forecasting_in_the_greater_Athens_area_with_the_use_of_neural_networks","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457836"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82457836/Editorial_da_Revista_Di%C3%A1logo_com_a_Economia_Criativa"><img alt="Research paper thumbnail of Editorial da Revista Diálogo com a Economia Criativa" class="work-thumbnail" src="https://attachments.academia-assets.com/88161304/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82457836/Editorial_da_Revista_Di%C3%A1logo_com_a_Economia_Criativa">Editorial da Revista Diálogo com a Economia Criativa</a></div><div class="wp-workCard_item"><span>Diálogo com a Economia Criativa</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Editorial da Revista Diálogo com a Economia Criativa v.5 n. 14 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fcf4a236ad88c8ad9cdd6de3ef7e63ea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161304,"asset_id":82457836,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161304/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457836"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457836]").text(description); $(".js-view-count[data-work-id=82457836]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457836; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457836']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fcf4a236ad88c8ad9cdd6de3ef7e63ea" } } $('.js-work-strip[data-work-id=82457836]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457836,"title":"Editorial da Revista Diálogo com a Economia Criativa","internal_url":"https://www.academia.edu/82457836/Editorial_da_Revista_Di%C3%A1logo_com_a_Economia_Criativa","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161304,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161304/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161304/download_file","bulk_download_file_name":"Editorial_da_Revista_Dialogo_com_a_Econo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161304/pdf-libre.pdf?1656696200=\u0026response-content-disposition=attachment%3B+filename%3DEditorial_da_Revista_Dialogo_com_a_Econo.pdf\u0026Expires=1740901215\u0026Signature=QjJq81O0-3b4I9wfZ7zVhq9lMjnEEJIClHh-L5r-wjYkqNfn7uEqm-IZkAYXYwbt-V7bMY8e8umG81ywDR17txHmm49k060FowuwCCGc8fNTvjjLcJmiu3niV5mi0amtBxVo1QPdw28y2praDtNaDgNZUZ6eugiPuR6Tjb3V0V0S7m4j21OzNsZ6WQK5OmFcmZYj15Dui9sGquILjTEaModUeEQ-nVjFZ9VZ5NjkG6jIM2nBCz6nbtQ1W97~cuDzVKH8l-qQ8060yeuoSYL4MOVlCQnXljrXeC8Da3dttYha~fejWaoHqsWrAjxGFW6y6yWAyvvcNePHqjliSxZ8Cw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457817"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82457817/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region"><img alt="Research paper thumbnail of Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region" class="work-thumbnail" src="https://attachments.academia-assets.com/88161292/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82457817/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region">Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region</a></div><div class="wp-workCard_item"><span>Energy Procedia</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">District heating networks are commonly addressed in the literature as one of the most effective s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cda38279357e1a6caa04e42219775c96" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161292,"asset_id":82457817,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161292/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457817"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457817"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457817; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457817]").text(description); $(".js-view-count[data-work-id=82457817]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457817; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457817']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "cda38279357e1a6caa04e42219775c96" } } $('.js-work-strip[data-work-id=82457817]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457817,"title":"Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region","internal_url":"https://www.academia.edu/82457817/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161292,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161292/thumbnails/1.jpg","file_name":"Published_Version.pdf","download_url":"https://www.academia.edu/attachments/88161292/download_file","bulk_download_file_name":"Assessing_the_Status_of_Electricity_Gene.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161292/Published_Version-libre.pdf?1656696204=\u0026response-content-disposition=attachment%3B+filename%3DAssessing_the_Status_of_Electricity_Gene.pdf\u0026Expires=1740901215\u0026Signature=PQyMo0uPXeyjj--Ejrmicy4HRG~p68kLpLBbhjCkJeSzWjQdZPnUTt~3lW-ecWAMboQIHK2sjzy9e-g~ncSS-hXBODmmL31x3cJmTcAsVqRXbhyhk-EmfBJR3qNU76AgTDqpc41uEr5NyqHdkHWZdAhqWmZ4uBk85tTzd-KzSbW1SEYMcwqXZM0igEcbl14lBI4hGYGTbwEH~RRGE2W2eJ~8vMn2gI0smw3GdEYz7zNNg9qbJQce69fPp2NjUXk1hzmZ14gcw5MjB7P-6xhu1WAApv11ctiz34~asqy2XQi8X5Tg9v~Dk9qx1UgzEkMNY1~0rupsUS30tdCVxYffSQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457800"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82457800/%CE%A0%CF%81%CF%8C%CE%B3%CE%BD%CF%89%CF%83%CE%B7_%CF%80%CE%BF%CE%B9%CF%8C%CF%84%CE%B7%CF%84%CE%B1%CF%82_%CF%84%CE%B7%CF%82_%CE%B1%CF%84%CE%BC%CF%8C%CF%83%CF%86%CE%B1%CE%B9%CF%81%CE%B1%CF%82_%CF%83%CF%84%CE%B7%CE%BD_%CE%B5%CF%85%CF%81%CF%8D%CF%84%CE%B5%CF%81%CE%B7_%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CF%87%CE%AE_%CE%91%CE%B8%CE%B7%CE%BD%CF%8E%CE%BD_%CE%BC%CE%B5_%CF%84%CE%B7_%CF%87%CF%81%CE%AE%CF%83%CE%B7_%CE%BD%CE%B5%CF%85%CF%81%CF%89%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B4%CE%B9%CE%BA%CF%84%CF%8D%CF%89%CE%BD"><img alt="Research paper thumbnail of Πρόγνωση ποιότητας της ατμόσφαιρας στην ευρύτερη περιοχή Αθηνών με τη χρήση νευρωνικών δικτύων" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82457800/%CE%A0%CF%81%CF%8C%CE%B3%CE%BD%CF%89%CF%83%CE%B7_%CF%80%CE%BF%CE%B9%CF%8C%CF%84%CE%B7%CF%84%CE%B1%CF%82_%CF%84%CE%B7%CF%82_%CE%B1%CF%84%CE%BC%CF%8C%CF%83%CF%86%CE%B1%CE%B9%CF%81%CE%B1%CF%82_%CF%83%CF%84%CE%B7%CE%BD_%CE%B5%CF%85%CF%81%CF%8D%CF%84%CE%B5%CF%81%CE%B7_%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CF%87%CE%AE_%CE%91%CE%B8%CE%B7%CE%BD%CF%8E%CE%BD_%CE%BC%CE%B5_%CF%84%CE%B7_%CF%87%CF%81%CE%AE%CF%83%CE%B7_%CE%BD%CE%B5%CF%85%CF%81%CF%89%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B4%CE%B9%CE%BA%CF%84%CF%8D%CF%89%CE%BD">Πρόγνωση ποιότητας της ατμόσφαιρας στην ευρύτερη περιοχή Αθηνών με τη χρήση νευρωνικών δικτύων</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457800"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457800"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457800; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457800]").text(description); $(".js-view-count[data-work-id=82457800]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457800; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457800']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82457800]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457800,"title":"Πρόγνωση ποιότητας της ατμόσφαιρας στην ευρύτερη περιοχή Αθηνών με τη χρήση νευρωνικών δικτύων","internal_url":"https://www.academia.edu/82457800/%CE%A0%CF%81%CF%8C%CE%B3%CE%BD%CF%89%CF%83%CE%B7_%CF%80%CE%BF%CE%B9%CF%8C%CF%84%CE%B7%CF%84%CE%B1%CF%82_%CF%84%CE%B7%CF%82_%CE%B1%CF%84%CE%BC%CF%8C%CF%83%CF%86%CE%B1%CE%B9%CF%81%CE%B1%CF%82_%CF%83%CF%84%CE%B7%CE%BD_%CE%B5%CF%85%CF%81%CF%8D%CF%84%CE%B5%CF%81%CE%B7_%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CF%87%CE%AE_%CE%91%CE%B8%CE%B7%CE%BD%CF%8E%CE%BD_%CE%BC%CE%B5_%CF%84%CE%B7_%CF%87%CF%81%CE%AE%CF%83%CE%B7_%CE%BD%CE%B5%CF%85%CF%81%CF%89%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B4%CE%B9%CE%BA%CF%84%CF%8D%CF%89%CE%BD","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="5770081" id="papers"><div class="js-work-strip profile--work_container" data-work-id="118207429"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207429/Artificial_Neural_Network_Models_for_the_Estimation_of_Air_Temperature_Cooling_and_Warming_Patterns_Inside_Urban_Clusters_The_Case_of_Courtyards_in_Athens_Greece"><img alt="Research paper thumbnail of Artificial Neural Network Models for the Estimation of Air Temperature Cooling and Warming Patterns Inside Urban Clusters: The Case of Courtyards in Athens, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/113887758/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207429/Artificial_Neural_Network_Models_for_the_Estimation_of_Air_Temperature_Cooling_and_Warming_Patterns_Inside_Urban_Clusters_The_Case_of_Courtyards_in_Athens_Greece">Artificial Neural Network Models for the Estimation of Air Temperature Cooling and Warming Patterns Inside Urban Clusters: The Case of Courtyards in Athens, Greece</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="15c00e2ea1e28f2a21633a07a7676eaf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887758,"asset_id":118207429,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887758/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207429"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207429"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207429; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207429]").text(description); $(".js-view-count[data-work-id=118207429]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207429; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207429']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "15c00e2ea1e28f2a21633a07a7676eaf" } } $('.js-work-strip[data-work-id=118207429]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207429,"title":"Artificial Neural Network Models for the Estimation of Air Temperature Cooling and Warming Patterns Inside Urban Clusters: The Case of Courtyards in Athens, Greece","internal_url":"https://www.academia.edu/118207429/Artificial_Neural_Network_Models_for_the_Estimation_of_Air_Temperature_Cooling_and_Warming_Patterns_Inside_Urban_Clusters_The_Case_of_Courtyards_in_Athens_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887758,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887758/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887758/download_file","bulk_download_file_name":"Artificial_Neural_Network_Models_for_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887758/pdf-libre.pdf?1714312877=\u0026response-content-disposition=attachment%3B+filename%3DArtificial_Neural_Network_Models_for_the.pdf\u0026Expires=1740916954\u0026Signature=ZpE2GnzaFSo-fjLmh7A~2rElRm3CxxNQ1LB50p-ro9bTPNjR0sm1tTr-zXsExbI-PCT9vFRcPehOQePFo-fjmRp32tb8lYIWIAMm0WK1BmfRpQ69~V-a1opwI6FKzCg0Hts9AC866KyRndBtlCM4LwMn1r8bx1XvVQ6fIeqpWDpR-JqUquAYJ6lD5bBxaNi-YHrTuTSqhKs9qusMZ4UwtMRahFMPsbz4LPRZwIM2vJj4E8-kTH2VAuDqvfX0cJ7jCCi2hS81XSRH2OrplAMLT9YtCnGFgSHyRnL23KO5UHZHy3wWZVpGUYav~wKJXvHc-rSkUAROdwZ2NvW0KWWcSA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207428"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207428/The_Quality_of_the_Atmospheric_Environment_during_Periods_of_Confinement_Due_to_COVID_19_in_the_Attica_Basin"><img alt="Research paper thumbnail of The Quality of the Atmospheric Environment during Periods of Confinement Due to COVID-19 in the Attica Basin" class="work-thumbnail" src="https://attachments.academia-assets.com/113887756/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207428/The_Quality_of_the_Atmospheric_Environment_during_Periods_of_Confinement_Due_to_COVID_19_in_the_Attica_Basin">The Quality of the Atmospheric Environment during Periods of Confinement Due to COVID-19 in the Attica Basin</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="80765347bcace6be79187e0e567b62bd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887756,"asset_id":118207428,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887756/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207428"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207428"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207428; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207428]").text(description); $(".js-view-count[data-work-id=118207428]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207428; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207428']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "80765347bcace6be79187e0e567b62bd" } } $('.js-work-strip[data-work-id=118207428]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207428,"title":"The Quality of the Atmospheric Environment during Periods of Confinement Due to COVID-19 in the Attica Basin","internal_url":"https://www.academia.edu/118207428/The_Quality_of_the_Atmospheric_Environment_during_Periods_of_Confinement_Due_to_COVID_19_in_the_Attica_Basin","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887756,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887756/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887756/download_file","bulk_download_file_name":"The_Quality_of_the_Atmospheric_Environme.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887756/pdf-libre.pdf?1714312887=\u0026response-content-disposition=attachment%3B+filename%3DThe_Quality_of_the_Atmospheric_Environme.pdf\u0026Expires=1740901215\u0026Signature=HbjWV68gq9TceUa6U6UHZ8KASOgI0V7Vyk1cqfN8j~7ZYSVmd-yxHmy-jBwm8V6PNPIc7K2si6Kvb3oxxY--wDK95NTLq95IosJOmCFkQ2CMjLS-tfa3laJCxPkjmyYqjvJJS7~S8Q1jM2je8k-~O9VrTlfrTcjWFVpMUEFLIiNc4~fOTYrq8B9zefERWdMEcPMNpXcD06CRWA8s1L7u1niYxgogRo3NnPqGv9qiPAajCyqaqcId5qiCzkDlYffETlN7I09r7mPWurNa7Vf9pAJe1ZRjtMJ~BrheTcvHtW97KHqYixx0tpm6WOOY-a3JqE0nqUBLA-SVOA0HmtFMQQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207427"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207427/The_Influence_of_Ozone_Concentrations_on_Public_Health_over_the_Greater_Athens_Area_Greece"><img alt="Research paper thumbnail of The Influence of Ozone Concentrations on Public Health over the Greater Athens Area, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/113887755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207427/The_Influence_of_Ozone_Concentrations_on_Public_Health_over_the_Greater_Athens_Area_Greece">The Influence of Ozone Concentrations on Public Health over the Greater Athens Area, Greece</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="aa04c905ebad0d26e6b30fafddcf1b81" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887755,"asset_id":118207427,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887755/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207427"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207427"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207427; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207427]").text(description); $(".js-view-count[data-work-id=118207427]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207427; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207427']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "aa04c905ebad0d26e6b30fafddcf1b81" } } $('.js-work-strip[data-work-id=118207427]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207427,"title":"The Influence of Ozone Concentrations on Public Health over the Greater Athens Area, Greece","internal_url":"https://www.academia.edu/118207427/The_Influence_of_Ozone_Concentrations_on_Public_Health_over_the_Greater_Athens_Area_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887755,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887755/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887755/download_file","bulk_download_file_name":"The_Influence_of_Ozone_Concentrations_on.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887755/pdf-libre.pdf?1714312886=\u0026response-content-disposition=attachment%3B+filename%3DThe_Influence_of_Ozone_Concentrations_on.pdf\u0026Expires=1740916954\u0026Signature=HfhIm5hG~f9er857-0o3lKv5Bo3QI6CMCkbGsyfibVJT4NbTulGNZxe~wjaTGRQNGlG5hvsYjKOKcAgr5XpypsyzcqC4wk~TkMH2~O6q9QgBewvg7iS2GS679bih~EsJq~EljxECxOwD9uQ-rkwDTgFr7gGTgQsuPDbu9hylYzReu8CJFPByqkFE~tM0Yy-EymxpQb2V6xmKXSbiaLZSPVG-2-nBRErbL9RT0tzLFe2~4ymrRKf68nsrME409~8VBYqulu2rxn4HOAjNVdYEWDq7Qd~o8Zg6JhhQ7Lt7RVJesSp~X~klsgiC9hHsFqadBXC7VJAd51vNrQbrS4QlMQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113887757,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887757/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887757/download_file","bulk_download_file_name":"The_Influence_of_Ozone_Concentrations_on.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887757/pdf-libre.pdf?1714312886=\u0026response-content-disposition=attachment%3B+filename%3DThe_Influence_of_Ozone_Concentrations_on.pdf\u0026Expires=1740916954\u0026Signature=UVcfnkJfMfufC4nfF1b3Tu~qq-7auEVV9oE1GQjflDI2XiZ4rjJS7txQ9rVgWOgVtfDN10E9qtgSFktBrgA3sUyJBVpimbkvD4--sC9NQYnPQeijB2zf8-1Fz-VRmkNb-1V3MHD8AZagAzM7sWHoaVIqwcC0F2OjIPHKmeAE~GX73rU2OdshUV5u2Rj2Q8NeF2gxhCvJTuhVGVRnemUZu7Nw6PPuFvBSYOyvJlaSIY38uDVrYCw51TEpfmprre2h9cRsvFY8B0zUTSt8mdhlTqQk0R5-qt59q9slLYzXxqxUovs3MTvBTEkbWMYyJoxXAU~qpkMouIV24UQG72azrg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207426"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207426/Estimating_the_Air_Pollution_Intake_Dose_in_Three_Port_Cities_in_Europe_with_the_Use_of_Ambient_Fine_Particulate_Matter_Measurements_from_Low_Cost_Sensors"><img alt="Research paper thumbnail of Estimating the Air Pollution Intake Dose in Three Port Cities in Europe with the Use of Ambient Fine Particulate Matter Measurements from Low-Cost Sensors" class="work-thumbnail" src="https://attachments.academia-assets.com/113887750/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207426/Estimating_the_Air_Pollution_Intake_Dose_in_Three_Port_Cities_in_Europe_with_the_Use_of_Ambient_Fine_Particulate_Matter_Measurements_from_Low_Cost_Sensors">Estimating the Air Pollution Intake Dose in Three Port Cities in Europe with the Use of Ambient Fine Particulate Matter Measurements from Low-Cost Sensors</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b04ad0c018301c0faae3a80065579f05" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887750,"asset_id":118207426,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887750/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207426"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207426"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207426; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207426]").text(description); $(".js-view-count[data-work-id=118207426]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207426; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207426']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b04ad0c018301c0faae3a80065579f05" } } $('.js-work-strip[data-work-id=118207426]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207426,"title":"Estimating the Air Pollution Intake Dose in Three Port Cities in Europe with the Use of Ambient Fine Particulate Matter Measurements from Low-Cost Sensors","internal_url":"https://www.academia.edu/118207426/Estimating_the_Air_Pollution_Intake_Dose_in_Three_Port_Cities_in_Europe_with_the_Use_of_Ambient_Fine_Particulate_Matter_Measurements_from_Low_Cost_Sensors","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887750,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887750/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887750/download_file","bulk_download_file_name":"Estimating_the_Air_Pollution_Intake_Dose.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887750/pdf-libre.pdf?1714312883=\u0026response-content-disposition=attachment%3B+filename%3DEstimating_the_Air_Pollution_Intake_Dose.pdf\u0026Expires=1740916954\u0026Signature=DP9SxdU4oQ1Fwu-LLfzuQEOlG5e8i9r0Ka-JJCY6AZTkwfOXVvzC1AE2exPNIp87duwTQKtt3TZOn15heKwTED4uXczlXNRLP4LO0A3uiN-UFcJ~3x6-QKMS9MU1HIzMgAA6r9qSzVtz3PvdzgJtmZeM4MPMdBBIo2CBrRGq5~BysAwj5EtdsqAiOBOvQHCz8J0rSrMYsNPIRJb4jid5wkpASImLxI0l31m9ZG4cMfh38nriOkvUXfpj06y8G0etsNb0L8NSvxAkeIhBzYi9qGfl0R1QE6JJ8UUW8jvaSLY8z0lNYFTUePrdoN-G1NgRFtsnZuee675t1yEv0L~PrA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113887752,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887752/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887752/download_file","bulk_download_file_name":"Estimating_the_Air_Pollution_Intake_Dose.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887752/pdf-libre.pdf?1714312884=\u0026response-content-disposition=attachment%3B+filename%3DEstimating_the_Air_Pollution_Intake_Dose.pdf\u0026Expires=1740916954\u0026Signature=fbf43XFKcfjw-kWOHtRVsuAd6N4kC8kMvqrMpPVafkvWr4ys9~SIc8JVd4r1GYtZw-B1Xp1njeW2Led95XpskviLx7L9lcZf0Vk~DDJnEa9rK--j1qWwChA61eI4oXNvQZcGHO7sVHqXx8RNbot7eGR~yJlEsljWvDiO2E4~-Jm-jYLS-VNdF7ldYfu6AEuHhjh4o7oWRHutv3jZST-tJldufgBbpikjxjLHKfUrEzqj8Zi56VXX2mSe7H30lQC1MvL34NTpNG9-cOzl9MnbZr3Lv08OC2HSkz9CbjxXnBRP9R0~FsKFTXCRnZ02mQAYpoiG-dOYjo2J-LNMg02BxQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207425"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207425/Calculation_of_Inhaled_Dose_of_Particulate_Matter_for_Different_Age_Groups_in_the_Metro_Public_Transport_System_in_Athens_Greece"><img alt="Research paper thumbnail of Calculation of Inhaled Dose of Particulate Matter for Different Age Groups in the Metro Public Transport System in Athens, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/113887754/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207425/Calculation_of_Inhaled_Dose_of_Particulate_Matter_for_Different_Age_Groups_in_the_Metro_Public_Transport_System_in_Athens_Greece">Calculation of Inhaled Dose of Particulate Matter for Different Age Groups in the Metro Public Transport System in Athens, Greece</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b06f0834ca4cb53effb380e23300b03e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887754,"asset_id":118207425,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887754/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207425"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207425"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207425; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207425]").text(description); $(".js-view-count[data-work-id=118207425]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207425; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207425']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b06f0834ca4cb53effb380e23300b03e" } } $('.js-work-strip[data-work-id=118207425]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207425,"title":"Calculation of Inhaled Dose of Particulate Matter for Different Age Groups in the Metro Public Transport System in Athens, Greece","internal_url":"https://www.academia.edu/118207425/Calculation_of_Inhaled_Dose_of_Particulate_Matter_for_Different_Age_Groups_in_the_Metro_Public_Transport_System_in_Athens_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887754,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887754/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887754/download_file","bulk_download_file_name":"Calculation_of_Inhaled_Dose_of_Particula.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887754/pdf-libre.pdf?1714312883=\u0026response-content-disposition=attachment%3B+filename%3DCalculation_of_Inhaled_Dose_of_Particula.pdf\u0026Expires=1740916954\u0026Signature=PbbR97~GgyExW9hm1FG6jcpmW87hmPgjn1FCJiGJtIhndY39L9iZWgSgloUL1uxzG04~cLo7CCil7HaWfagPxb5rZxg8weos02~K9Z2bquMxpwQdu0CaADjE2s3JrQP0-d0of6IId5XLk0MG-sP49UBInPgh1rlhbrwDNLQkyn-0dElnr1SpKgX~BysbggYFmHiQ6N3LQBfmKwJnlzWAJF2nFp3slSVF78auCaCYijr-DjH9-e3menlXiUERo41ArCk8e01p32unZkGVbRVVzKLiJFyqN~M1H7LUehPoMM3umiVJTpZNGMp6Wgp7kPkhq0Op7p2qT2AIAiNv~iM8ew__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207424"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207424/Day_Ahead_Forecasting_of_the_Theoretical_and_Actual_Wind_Power_Generation_in_Energy_Constrained_Island_Systems"><img alt="Research paper thumbnail of Day-Ahead Forecasting of the Theoretical and Actual Wind Power Generation in Energy-Constrained Island Systems" class="work-thumbnail" src="https://attachments.academia-assets.com/113887753/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207424/Day_Ahead_Forecasting_of_the_Theoretical_and_Actual_Wind_Power_Generation_in_Energy_Constrained_Island_Systems">Day-Ahead Forecasting of the Theoretical and Actual Wind Power Generation in Energy-Constrained Island Systems</a></div><div class="wp-workCard_item"><span>Energies</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Grid operators of islands with limited system tolerance are often challenged by the need to curta...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Grid operators of islands with limited system tolerance are often challenged by the need to curtail wind energy in order to maintain system stability and security of supply. At the same time, and in the absence of storage facilities and/or other means of flexibility such as demand-side management, wind park owners face the problem of rejected wind energy production that varies considerably within the year. In the prospect of a more dynamic market operation in island grids, estimation of the anticipated wind energy curtailments may allow the evaluation of different options for wind park owners, such as short-term leasing of energy storage and/or direct, bilateral power purchase agreements with flexible demand entities. To enable such options, effective wind energy forecasting is necessary not only in terms of theoretical production, but also in terms of actual production being absorbed by the system. In this direction, the current research works on the prediction of day-ahead wind en...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="135c8ed0ab846c57d5292972595c396a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887753,"asset_id":118207424,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887753/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207424"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207424"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207424; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207424]").text(description); $(".js-view-count[data-work-id=118207424]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207424; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207424']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "135c8ed0ab846c57d5292972595c396a" } } $('.js-work-strip[data-work-id=118207424]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207424,"title":"Day-Ahead Forecasting of the Theoretical and Actual Wind Power Generation in Energy-Constrained Island Systems","internal_url":"https://www.academia.edu/118207424/Day_Ahead_Forecasting_of_the_Theoretical_and_Actual_Wind_Power_Generation_in_Energy_Constrained_Island_Systems","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887753,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887753/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887753/download_file","bulk_download_file_name":"Day_Ahead_Forecasting_of_the_Theoretical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887753/pdf-libre.pdf?1714313034=\u0026response-content-disposition=attachment%3B+filename%3DDay_Ahead_Forecasting_of_the_Theoretical.pdf\u0026Expires=1740916954\u0026Signature=etaDULyHx2qHFcxVc-8Ou8ZlsqeF-8rt26TvzEX3t56ovF5SXAwGjA9-POI79ZikFZkptxBnJ2CLkqWolBrvXN74g7Cuelqf1cK4fnd6HTyxGockZ29jlAjVC~LdVSDIkhyTyqyh3659AMT0o1xQy29k5Wz454EOzrOZQy3570x9F8YqNfljApyrKZPn2pqM9vZMBuFxP5e6WSin9YT~thNXeFxP0UEJnoPrza2NBLvbiRDpndqUxZps72ScBHft8dLaf8Lk4hDMG4gtGULl9rEkdScrrWM3mHKbRADuHJADb~GjKtNtKKVV3WwQydfZQ2rH6b74~0Ic4~xBmGTTnw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113887751,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887751/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887751/download_file","bulk_download_file_name":"Day_Ahead_Forecasting_of_the_Theoretical.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887751/pdf-libre.pdf?1714313028=\u0026response-content-disposition=attachment%3B+filename%3DDay_Ahead_Forecasting_of_the_Theoretical.pdf\u0026Expires=1740916954\u0026Signature=NLYKHg-g7d6phZZwCvRmWAVPiEI-ndYME3XhPXll-2T0KMMF6t29GZTHjmozHJ9QiN3vhlXsWcS5DPBD10wuRjtw2K695VTNyKNyRlh9wJbxLipVvAAIcfLdFtRkwZ15o~lNeAaTlXhrY3Y-dE-nlarvP9eegnC-0uLgdvkUKtR~RwL53-NOm68nu42-m~gODc9qHRO3Lgj~FXyFuP8IPq4Cty2lqVe~jVS1BzvdFN2bQqZMfxLugplA8jB7E5WEZ6p9pAw8iOtxE9DqqV9WWOG3csYkysarAD1l~i7P7QSkafIpFTQFqSzXgu2nauQw4701w1xPa~~mon~QjWtliQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118207416"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118207416/Investigation_into_Atmospheric_Pollution_Impacts_on_Hospital_Admissions_in_Attica_Using_Regression_Models"><img alt="Research paper thumbnail of Investigation into Atmospheric Pollution Impacts on Hospital Admissions in Attica Using Regression Models" class="work-thumbnail" src="https://attachments.academia-assets.com/113887743/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118207416/Investigation_into_Atmospheric_Pollution_Impacts_on_Hospital_Admissions_in_Attica_Using_Regression_Models">Investigation into Atmospheric Pollution Impacts on Hospital Admissions in Attica Using Regression Models</a></div><div class="wp-workCard_item"><span>COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3d143d049a6a07c0a1dfc8263e39c0a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113887743,"asset_id":118207416,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113887743/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118207416"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118207416"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118207416; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118207416]").text(description); $(".js-view-count[data-work-id=118207416]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118207416; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118207416']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3d143d049a6a07c0a1dfc8263e39c0a" } } $('.js-work-strip[data-work-id=118207416]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118207416,"title":"Investigation into Atmospheric Pollution Impacts on Hospital Admissions in Attica Using Regression Models","internal_url":"https://www.academia.edu/118207416/Investigation_into_Atmospheric_Pollution_Impacts_on_Hospital_Admissions_in_Attica_Using_Regression_Models","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":113887743,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113887743/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/113887743/download_file","bulk_download_file_name":"Investigation_into_Atmospheric_Pollution.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113887743/pdf-libre.pdf?1714312880=\u0026response-content-disposition=attachment%3B+filename%3DInvestigation_into_Atmospheric_Pollution.pdf\u0026Expires=1740901215\u0026Signature=KGenuQOEJ9PAkFouyD4MwCc6gioSQWetlHTv82g5eEDhieFLA6mtfv73zlWvT5TOKzevqytfKBLuN83yIHiQAa8-Au-n4Jtb8Zq0oBEjri3sAFFSRKVuoqXOQpi1YamHvsFUu73cXwE8598jF7cUVm0-HfGASZTPHvT40hx18vLh4pv0yQRa3ybA-kXj6py2i5oLhZ5uc8JpcM-Ff3Br5dfOothAcBuNRdfyCc~pz4fzGNLb2KlAcrJgURqPe4DYt-sCVjB1tLMmAW2cOQ37nWzh6A5n11wK5oTqTAETSPOPrQ6ey5G5j67oHvNdXi0OJIc25JN9d2DXzYZjp5ADLw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96326122"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96326122/Combining_Artificial_Neural_Network_and_Driver_Pressure_State_Impact_Response_Approach_for_Evaluating_a_Mediterranean_Lake"><img alt="Research paper thumbnail of Combining Artificial Neural Network and Driver–Pressure–State–Impact–Response Approach for Evaluating a Mediterranean Lake" class="work-thumbnail" src="https://attachments.academia-assets.com/98255334/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96326122/Combining_Artificial_Neural_Network_and_Driver_Pressure_State_Impact_Response_Approach_for_Evaluating_a_Mediterranean_Lake">Combining Artificial Neural Network and Driver–Pressure–State–Impact–Response Approach for Evaluating a Mediterranean Lake</a></div><div class="wp-workCard_item"><span>Water</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The main objective of this research was to evaluate the surface water system of Lake Vegoritida (...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The main objective of this research was to evaluate the surface water system of Lake Vegoritida (Region of Central Macedonia, Greece). The Driver–Pressure–State–Impact–Response (DPSIR) methodological approach was used. The analysis includes data from three (3) stations monitoring point source pollution and recording the most critical water quality measurement parameters in a time series data analysis from 1983 to 1997. The data will contribute to the analysis and was used to investigate, identify, and evaluate possible sources of chemical and ecological changes recorded in the lake. The artificial neural network (ANN) is a valuable tool for making predictions based on the water quality data set. The findings highlighted the increased concentration of nutrients that contribute to the presence of eutrophic conditions, while their seasonal variability is mainly due to factors, such as water level fluctuations and biological processes in the lake. The above, combined with the critical b...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4392dc55147ba761c9d1ca76ed4e7319" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98255334,"asset_id":96326122,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98255334/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96326122"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96326122"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96326122; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96326122]").text(description); $(".js-view-count[data-work-id=96326122]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96326122; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96326122']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4392dc55147ba761c9d1ca76ed4e7319" } } $('.js-work-strip[data-work-id=96326122]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96326122,"title":"Combining Artificial Neural Network and Driver–Pressure–State–Impact–Response Approach for Evaluating a Mediterranean Lake","internal_url":"https://www.academia.edu/96326122/Combining_Artificial_Neural_Network_and_Driver_Pressure_State_Impact_Response_Approach_for_Evaluating_a_Mediterranean_Lake","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":98255334,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98255334/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/98255334/download_file","bulk_download_file_name":"Combining_Artificial_Neural_Network_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98255334/pdf-libre.pdf?1675594829=\u0026response-content-disposition=attachment%3B+filename%3DCombining_Artificial_Neural_Network_and.pdf\u0026Expires=1740901215\u0026Signature=O9RKsZzjPzyrzPggkm2Qz4RhNGzKwlVS8pounFWD4~6fVSScyUhBlWBxbhKG~pthHCOOJrDPY8B1WE6PoXuXN~B9S-C~UomGaQnYQ0T8sf1UI0~dc8G8RJmoD5KnKA--92F3QwKcB9CQBLYngeVhWdVwZaw0DIh~HKIFWkDadFUbV1izHfthgUVO1i0NBgnLNdwAnU-NpUT05zay~grfzghpwEkClh9q-XPTHnrDxhiNeb4~mfnmuSpY64sHCF3Nr7HWqGJEeI~LviJZA0584q1W7QTqtIUIg~5mMkglU0Xn2uoeosGPrkmgwHF1SroqoM1NLoqiQMOQC3SuYthkfg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":98255335,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98255335/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/98255335/download_file","bulk_download_file_name":"Combining_Artificial_Neural_Network_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98255335/pdf-libre.pdf?1675594836=\u0026response-content-disposition=attachment%3B+filename%3DCombining_Artificial_Neural_Network_and.pdf\u0026Expires=1740901215\u0026Signature=gafGe~MON8mR-z7-d0JNUoP-CQinE24jedCJPT56ILcYCmG3zZwMkKBHLqoiUewiTuPped5K-lOuNFLqwkZuZgpMotQeXcrA7tDEx2lnEBblR0UwEZNsQjCsBtsXVSvdF65nC1d2sBX8ElQn1f~buYN-MvDNEqZVFMYQk7Gji4507gGGbuP9weE6RzTep2cz5nANMRQqdbqX-2wRkPXQ0rQr~OYDLJSBxapH0XuACY4JGzxIdxCdSN5ujpU2P9KgO4cZ~UNeMXDPKaZWWNzGqYfFk-FDL8QheLm5giXKo23yB3KVBUJ1t1wu0O56X-gKxuO-12fy0mBd8S~dGF~Wwg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458382"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82458382/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece"><img alt="Research paper thumbnail of Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88161601/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82458382/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece">Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece</a></div><div class="wp-workCard_item"><span>Land</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet ov...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet over the last ~30 years, which is next used for the generation of high granularity fleet projections, the assessment of associated air pollution and the estimation of relevant environmental benefits by 2030. The integrated methodology developed takes also into account vehicle clustering and the Brown’s Double Simple Exponential Smoothing technique that, together with the adoption of COPERT-based emission factors, allow for the estimation of the anticipated emissions in 2030. Expected 2030 emissions levels suggest a reduction across all pollutants compared to 2018, ranging from 3.7% for PM10 to 54.5% for NMVOC (and 46% for CO, 14% for SO2, 28% for NOX and 21% for CO2). We find that Greece is on track with national goals concerning the reduction of air pollution from the transportation sector, which designates the positive contribution anticipated by EVs and new, “greener” vehicles, and sets...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="76f7353fe1a13a155119392ae69e3417" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161601,"asset_id":82458382,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161601/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458382"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458382"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458382; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458382]").text(description); $(".js-view-count[data-work-id=82458382]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458382; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458382']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "76f7353fe1a13a155119392ae69e3417" } } $('.js-work-strip[data-work-id=82458382]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458382,"title":"Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece","internal_url":"https://www.academia.edu/82458382/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161601,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161601/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161601/download_file","bulk_download_file_name":"Transportation_and_Air_Quality_Perspecti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161601/pdf-libre.pdf?1656696144=\u0026response-content-disposition=attachment%3B+filename%3DTransportation_and_Air_Quality_Perspecti.pdf\u0026Expires=1740916954\u0026Signature=fqrZaFLNrI7m-Xik9T2X~2YgK~3eIGwEwV5-0jKPNF9kTbTBl-G~PQOIf7JlXjOEqA-CxlCfX8j3ah9sO5sNAxu0ATbn7FB3QgX~0F15qmNx0Mb7LKP0GtBJgcroH66plaLKHTPsyVEItt9YCrzCLUjTDfnwIzg3fx6RUWmRSqkdd96VJ9cA77Dn8151ZVINoAUOCSLKLZdHTQQ1rmLIOngLgv4eBB5kRDiV4II6Hx8UaKA0clYbY~Lr6~FBl8oBFFwK-lUcQp78pexXKfqkh9YZJcIiU5STCn4ZGhZDBnPwyr8VLNIKvjWMFJIgTVoF83hTWhZqMH8wwhx0xyZcpA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458319"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82458319/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region"><img alt="Research paper thumbnail of Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region" class="work-thumbnail" src="https://attachments.academia-assets.com/88161633/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82458319/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region">Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region</a></div><div class="wp-workCard_item"><span>Energy Procedia</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">District heating networks are commonly addressed in the literature as one of the most effective s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a70d649e9d1839ce9d00f41d5adaeecf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161633,"asset_id":82458319,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161633/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458319"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458319"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458319; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458319]").text(description); $(".js-view-count[data-work-id=82458319]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458319; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458319']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a70d649e9d1839ce9d00f41d5adaeecf" } } $('.js-work-strip[data-work-id=82458319]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458319,"title":"Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region","internal_url":"https://www.academia.edu/82458319/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161633,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161633/thumbnails/1.jpg","file_name":"Published_Version.pdf","download_url":"https://www.academia.edu/attachments/88161633/download_file","bulk_download_file_name":"Assessing_the_Status_of_Electricity_Gene.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161633/Published_Version-libre.pdf?1656696126=\u0026response-content-disposition=attachment%3B+filename%3DAssessing_the_Status_of_Electricity_Gene.pdf\u0026Expires=1740901215\u0026Signature=GcRpYVCpxzHpGUHZY4O5SBQ5ssODf8-rGXtj-MSb0YCZLRK9iwYfidGC6HE0xS6LfdNf92jKlt8gWSSw4nbbwLci-zZ~Lq4VBfQAoKhfRUBxbz-c1ntzsMy7ImImJ0ocBqoxspDV-Qe3vIXG2xVHgwMDw8s7DlqnSz3IysEzbUnxi~vVWJTVmgYTamgcdc2lwBXBO1DleE-wnk3fo6tMYSyp6YDbqZizQJIBvhvYeyKLdmRmJUUPw2HTXhqzm8uKwiuTrbtZhlepQ~daKbthe1UDGsBowN8xu2U2Clm8hA6rWqebrAEXOXNphn~y4C96TDuhmZNvYUkBFOvNUP~ZOw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458267"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82458267/Development_of_Realistic_Demand_Side_Management_Strategies_Using_Artificial_Neural_Networks_for_the_Production_of_Informative_Wind_Speed_Prediction_Signals"><img alt="Research paper thumbnail of Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals" class="work-thumbnail" src="https://attachments.academia-assets.com/88161599/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82458267/Development_of_Realistic_Demand_Side_Management_Strategies_Using_Artificial_Neural_Networks_for_the_Production_of_Informative_Wind_Speed_Prediction_Signals">Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals</a></div><div class="wp-workCard_item"><span>Renewable Energy in the Service of Mankind Vol I</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Urgency to achieve large-scale integration of the stochastic wind energy production calls among o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Urgency to achieve large-scale integration of the stochastic wind energy production calls among others for the employment of novel solutions including energy storage, upgrade of electricity grids and application of effective demand side management. To this end, the problem of limited wind energy integration becomes even more severe in isolated island regions, owed to the weak character of local electricity grids. For this purpose, the current study emphasizes on the need for the production of adequately reliable forecasting wind speed signals that can in turn inform the development of appropriate energy, and especially demand side management strategies. In this context, we use artificial neural networks and provide prediction of wind speed for three different island locations of the Aegean Sea, evaluating wind speed signals for one to 10-hours ahead. Our results demonstrate that wind speed predictions up to even 3-hours ahead can sufficiently inform the development of appropriate energy management strategies, designating the potential of ANNs in the field of wind speed prediction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="35c1acc7d464ec4d0211c563d96a9954" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161599,"asset_id":82458267,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161599/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458267"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458267"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458267; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458267]").text(description); $(".js-view-count[data-work-id=82458267]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458267; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458267']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "35c1acc7d464ec4d0211c563d96a9954" } } $('.js-work-strip[data-work-id=82458267]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458267,"title":"Development of Realistic Demand Side Management Strategies Using Artificial Neural Networks for the Production of Informative Wind Speed Prediction Signals","internal_url":"https://www.academia.edu/82458267/Development_of_Realistic_Demand_Side_Management_Strategies_Using_Artificial_Neural_Networks_for_the_Production_of_Informative_Wind_Speed_Prediction_Signals","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161599,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161599/thumbnails/1.jpg","file_name":"Zafirakis_WREC2014.pdf","download_url":"https://www.academia.edu/attachments/88161599/download_file","bulk_download_file_name":"Development_of_Realistic_Demand_Side_Man.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161599/Zafirakis_WREC2014-libre.pdf?1656697681=\u0026response-content-disposition=attachment%3B+filename%3DDevelopment_of_Realistic_Demand_Side_Man.pdf\u0026Expires=1740901215\u0026Signature=PjOlOb6Zu22NujKzl7YEHPJtAaWqPBvgwgRNHGeHu8hSJW9-h41OGTuodUaYn6OvEaJjhtR8-lmiH8WMJfJAf8cmS~EweODIgk1bv-jzfDHCfFL95dOifCiTxUi1BJ2E5J4zfVeuf2E7n9FoNPbLeVNro4X3b5I2zy5q8OWUn50a~G87EJINbEtg11p5yMozEqejIFhezD47UfPjGUX7sSFMv0bO9BKjOZ2LCOpLCpUL2KLytG5hAgciH-WS5TsBuCb6GzZxSZxHG3gxJUzNVejzEEADe5Tmwb3-bcNWF84-eSHodI0r2OIGxuZ1cM~FHzJHXXcXRDKxcSh0Wx0uTA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458189"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82458189/Radiant_barriers_performance_in_greek_residential_and_non_residential_buildings"><img alt="Research paper thumbnail of Radiant barriers performance in greek residential and non-residential buildings" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82458189/Radiant_barriers_performance_in_greek_residential_and_non_residential_buildings">Radiant barriers performance in greek residential and non-residential buildings</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458189"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458189"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458189; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458189]").text(description); $(".js-view-count[data-work-id=82458189]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458189; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458189']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82458189]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458189,"title":"Radiant barriers performance in greek residential and non-residential buildings","internal_url":"https://www.academia.edu/82458189/Radiant_barriers_performance_in_greek_residential_and_non_residential_buildings","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458114"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82458114/Building_comprehensive_meteorological_data_files_with_the_use_of_Artificial_Neural_Networks"><img alt="Research paper thumbnail of Building comprehensive meteorological data files with the use of Artificial Neural Networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82458114/Building_comprehensive_meteorological_data_files_with_the_use_of_Artificial_Neural_Networks">Building comprehensive meteorological data files with the use of Artificial Neural Networks</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Synoptic meteorological observations all over the world are usually carried out on the basis of 3...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Synoptic meteorological observations all over the world are usually carried out on the basis of 3-hour intervals, as specified by the World Meteorology Organization. However, in many cases, e.g. for the detailed calculation of buildings&#39; energy balance and the energy production of solar power systems, cognition of the hourly time series of some meteorological parameters such as air temperature, air relative humidity, atmospheric pressure, etc. is necessary. For this purpose, in the specific study, artificial neural networks are developed and applied in order to transform 3-hour meteorological data files of air temperature, relative humidity and atmospheric pressure of different regions to full 24-hour data files. The hourly values predicted by the developed artificial neural networks are accordingly compared with the actual hourly values of parameters examined with the results obtained showing a very satisfying agreement at a statistical significance level of p&lt;0.01.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458114"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458114"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458114; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458114]").text(description); $(".js-view-count[data-work-id=82458114]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458114; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458114']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82458114]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458114,"title":"Building comprehensive meteorological data files with the use of Artificial Neural Networks","internal_url":"https://www.academia.edu/82458114/Building_comprehensive_meteorological_data_files_with_the_use_of_Artificial_Neural_Networks","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82458067"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82458067/24_Hours_Ahead_Forecasting_of_PM10_Concentrations_Using_Artificial_Neural_Networks_in_the_Greater_Athens_Area_Greece"><img alt="Research paper thumbnail of 24-Hours Ahead Forecasting of PM10 Concentrations Using Artificial Neural Networks in the Greater Athens Area, Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82458067/24_Hours_Ahead_Forecasting_of_PM10_Concentrations_Using_Artificial_Neural_Networks_in_the_Greater_Athens_Area_Greece">24-Hours Ahead Forecasting of PM10 Concentrations Using Artificial Neural Networks in the Greater Athens Area, Greece</a></div><div class="wp-workCard_item"><span>Springer Atmospheric Sciences</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The study of atmospheric concentration levels at a local scale is one of the most import...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The study of atmospheric concentration levels at a local scale is one of the most important topics in environmental sciences. Multivariate analysis, fuzzy logic and neural networks have been introduced in forecasting procedures in order to elaborate operational techniques for level characterization of specific atmo-spheric pollutants at different spatial and temporal scales. Particularly, procedures based on artificial neural networks (ANNs) have been applied with success to forecast concentration levels of PM 10 , CO and O 3 . The present study deals with the development and application of ANN models as a tool to forecast daily concentration levels of PM 10 in five different regions within the greater Athens area (GAA). Modeling was based on mean daily PM 10 concentration, the maximum hourly NO 2 concentration, air temperature, relative humidity, wind speed and the mode daily value of wind direction from five different monitoring stations for the period 2001–2005. Model performance showed that the ANN models could suc-cessfully forecast the risk of daily PM 10 concentration levels exceeding certain thresholds. In addition, despite the limitations of the models, the results of the study, # Springer-Verlag Berlin Heidelberg 2012 1121 demonstrated that ANN models, when adequately trained, could have a high applicability to predict the PM 10 daily concentration 1 day ahead within the GAA.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82458067"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82458067"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82458067; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82458067]").text(description); $(".js-view-count[data-work-id=82458067]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82458067; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82458067']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82458067]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82458067,"title":"24-Hours Ahead Forecasting of PM10 Concentrations Using Artificial Neural Networks in the Greater Athens Area, Greece","internal_url":"https://www.academia.edu/82458067/24_Hours_Ahead_Forecasting_of_PM10_Concentrations_Using_Artificial_Neural_Networks_in_the_Greater_Athens_Area_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457924"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82457924/Artificial_neural_networks_modeling_for_forecasting_the_maximum_daily_total_precipitation_at_Athens_Greece"><img alt="Research paper thumbnail of Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82457924/Artificial_neural_networks_modeling_for_forecasting_the_maximum_daily_total_precipitation_at_Athens_Greece">Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece</a></div><div class="wp-workCard_item"><span>Atmospheric Research</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Extreme daily precipitation events are involved in significant environmental damages, ev...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Extreme daily precipitation events are involved in significant environmental damages, even in life loss, because of causing adverse impacts, such as flash floods, in urban and sometimes in rural areas. Thus, long-term forecast of such events is of great importance for the preparation of local authorities in order to confront and mitigate the adverse consequences. The objective of this study is to estimate the possibility of forecasting the maximum daily precipitation for the next coming year. For this reason, appropriate prognostic models, such as Artificial Neural Networks (ANNs) were developed and applied. The data used for the analysis concern annual maximum daily precipitation totals, which have been recorded at the National Observatory of Athens (NOA), during the long term period 1891–2009. To evaluate the potential of daily extreme precipitation forecast by the applied ANNs, a different period for validation was considered than the one used for the ANNs training. Thus, the datasets of the period 1891–1980 were used as training datasets, while the datasets of the period 1981–2009 as validation datasets. Appropriate statistical indices, such as the coefficient of determination (R2), the index of agreement (IA), the Root Mean Square Error (RMSE) and the Mean Bias Error (MBE), were applied to test the reliability of the models. The findings of the analysis showed that, a quite satisfactory relationship (R2 = 0.482, IA = 0.817, RMSE = 16.4 mm and MBE = + 5.2 mm) appears between the forecasted and the respective observed maximum daily precipitation totals one year ahead. The developed ANN seems to overestimate the maximum daily precipitation totals appeared in 1988 while underestimate the maximum in 1999, which could be attributed to the relatively low frequency of occurrence of these extreme events within GAA having impact on the optimum training of ANN.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457924"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457924"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457924; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457924]").text(description); $(".js-view-count[data-work-id=82457924]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457924; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457924']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82457924]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457924,"title":"Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece","internal_url":"https://www.academia.edu/82457924/Artificial_neural_networks_modeling_for_forecasting_the_maximum_daily_total_precipitation_at_Athens_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457858"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82457858/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece"><img alt="Research paper thumbnail of Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88161321/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82457858/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece">Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece</a></div><div class="wp-workCard_item"><span>Land</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet ov...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study provides a thorough review and analysis of the evolution of the Greek vehicle fleet over the last ~30 years, which is next used for the generation of high granularity fleet projections, the assessment of associated air pollution and the estimation of relevant environmental benefits by 2030. The integrated methodology developed takes also into account vehicle clustering and the Brown’s Double Simple Exponential Smoothing technique that, together with the adoption of COPERT-based emission factors, allow for the estimation of the anticipated emissions in 2030. Expected 2030 emissions levels suggest a reduction across all pollutants compared to 2018, ranging from 3.7% for PM10 to 54.5% for NMVOC (and 46% for CO, 14% for SO2, 28% for NOX and 21% for CO2). We find that Greece is on track with national goals concerning the reduction of air pollution from the transportation sector, which designates the positive contribution anticipated by EVs and new, “greener” vehicles, and sets...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4af7fdd3d8839b05dcabca80020fb194" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161321,"asset_id":82457858,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161321/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457858"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457858"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457858; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457858]").text(description); $(".js-view-count[data-work-id=82457858]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457858; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457858']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4af7fdd3d8839b05dcabca80020fb194" } } $('.js-work-strip[data-work-id=82457858]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457858,"title":"Transportation and Air Quality Perspectives and Projections in a Mediterranean Country, the Case of Greece","internal_url":"https://www.academia.edu/82457858/Transportation_and_Air_Quality_Perspectives_and_Projections_in_a_Mediterranean_Country_the_Case_of_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161321,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161321/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161321/download_file","bulk_download_file_name":"Transportation_and_Air_Quality_Perspecti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161321/pdf-libre.pdf?1656696207=\u0026response-content-disposition=attachment%3B+filename%3DTransportation_and_Air_Quality_Perspecti.pdf\u0026Expires=1740901215\u0026Signature=HU147ClR90SY3ipA2OzlalDh-XVt31yoBsQ6f3A7dbnftF6oj8VK5amE8Gv-jpYKR4tO~Bqu9GNUaj0D9PSFieOhCsRWqd47O3VvEcocXrwPByMO8aoQhVljqvmLktY5Mbd1tcL65GUiCYrxYNSpO5dnfc~-SWL0PXFColqUOjCKsnHLgsN7~L1gY0nR6wFRwURk-zHL8efHCo163w-wHIMbfYhUJ76akGpL~iU5ZUOqS8ouQrziORxx9sdXqAIAfogB62K8a6FXNB5E6IZB16uG1n2-76w-WbpL6tydRvmnzN6f5i8r~h76KLpEl2YDYOfie2hIuTcZJ7sRc56oIA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":88161317,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161317/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161317/download_file","bulk_download_file_name":"Transportation_and_Air_Quality_Perspecti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161317/pdf-libre.pdf?1656696207=\u0026response-content-disposition=attachment%3B+filename%3DTransportation_and_Air_Quality_Perspecti.pdf\u0026Expires=1740901215\u0026Signature=CXjbkzXnpKXo-akXcH4m4nhd9GSifIgDaNBNevpaCDdrYDmsnO9cDoDFKijaq51Oig6IywaquORhDswcgZW~hf8RpC41FqyVt-2~XFFWe8lQ6X6Dyq87Z0o9ExVTscJZ3Z7RxwTlpnjBlO-gx4rpJ14iES2b0YEurTsLtPyb8JA4VuaA0iKAxNQm1F7ALJP1UQ-CIG2iksm2XD8OlJ~WUYOlTrLm1DDfXFq7MeHZx0AAhU1aTGByT7kj3YF39bH2yGIY-Ki~zD4FoIWjyOXGmBe~c5yIgQE8ff2VArT-WbT-oNY41FhhsDctXBLlqJzl-qpulp4OxKfBdOW8lEt02Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457849"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82457849/Air_quality_forecasting_in_the_greater_Athens_area_with_the_use_of_neural_networks"><img alt="Research paper thumbnail of Air quality forecasting in the greater Athens area with the use of neural networks" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82457849/Air_quality_forecasting_in_the_greater_Athens_area_with_the_use_of_neural_networks">Air quality forecasting in the greater Athens area with the use of neural networks</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this Doctoral thesis is the use of artificial neural networks technology (ANNs) as for...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this Doctoral thesis is the use of artificial neural networks technology (ANNs) as forecast models for the air quality prediction in the greater Athens area. The term &quot;air quality prediction&quot; includes both the prediction of air pollution during the year and the prediction of human thermal comfort-discomfort, during the hot season of the year in the greater Athens area. For this purpose sixteen (16) Multi-Layer Perceptron ANNs have been created and trained according to the Back Propagation Algorithm. Twelve (12) of the created ANNs predict the air pollution in seven (7) different areas of Athens city for the pollutants CO, NO2, SO2 and O3 and in five (5) different areas of Athens city for the particulate matter (PM10). The prediction also concerns the persistence of the air pollution phenomenon, i.e. the number of the consecutive hours during the day, where the concentration of the pollutants was greater than the concentration limits as established under the Euro...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457849"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457849"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457849; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457849]").text(description); $(".js-view-count[data-work-id=82457849]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457849; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457849']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82457849]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457849,"title":"Air quality forecasting in the greater Athens area with the use of neural networks","internal_url":"https://www.academia.edu/82457849/Air_quality_forecasting_in_the_greater_Athens_area_with_the_use_of_neural_networks","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457836"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82457836/Editorial_da_Revista_Di%C3%A1logo_com_a_Economia_Criativa"><img alt="Research paper thumbnail of Editorial da Revista Diálogo com a Economia Criativa" class="work-thumbnail" src="https://attachments.academia-assets.com/88161304/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82457836/Editorial_da_Revista_Di%C3%A1logo_com_a_Economia_Criativa">Editorial da Revista Diálogo com a Economia Criativa</a></div><div class="wp-workCard_item"><span>Diálogo com a Economia Criativa</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Editorial da Revista Diálogo com a Economia Criativa v.5 n. 14 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fcf4a236ad88c8ad9cdd6de3ef7e63ea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161304,"asset_id":82457836,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161304/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457836"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457836]").text(description); $(".js-view-count[data-work-id=82457836]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457836; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457836']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fcf4a236ad88c8ad9cdd6de3ef7e63ea" } } $('.js-work-strip[data-work-id=82457836]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457836,"title":"Editorial da Revista Diálogo com a Economia Criativa","internal_url":"https://www.academia.edu/82457836/Editorial_da_Revista_Di%C3%A1logo_com_a_Economia_Criativa","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161304,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161304/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/88161304/download_file","bulk_download_file_name":"Editorial_da_Revista_Dialogo_com_a_Econo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161304/pdf-libre.pdf?1656696200=\u0026response-content-disposition=attachment%3B+filename%3DEditorial_da_Revista_Dialogo_com_a_Econo.pdf\u0026Expires=1740901215\u0026Signature=QjJq81O0-3b4I9wfZ7zVhq9lMjnEEJIClHh-L5r-wjYkqNfn7uEqm-IZkAYXYwbt-V7bMY8e8umG81ywDR17txHmm49k060FowuwCCGc8fNTvjjLcJmiu3niV5mi0amtBxVo1QPdw28y2praDtNaDgNZUZ6eugiPuR6Tjb3V0V0S7m4j21OzNsZ6WQK5OmFcmZYj15Dui9sGquILjTEaModUeEQ-nVjFZ9VZ5NjkG6jIM2nBCz6nbtQ1W97~cuDzVKH8l-qQ8060yeuoSYL4MOVlCQnXljrXeC8Da3dttYha~fejWaoHqsWrAjxGFW6y6yWAyvvcNePHqjliSxZ8Cw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457817"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82457817/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region"><img alt="Research paper thumbnail of Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region" class="work-thumbnail" src="https://attachments.academia-assets.com/88161292/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82457817/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region">Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region</a></div><div class="wp-workCard_item"><span>Energy Procedia</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">District heating networks are commonly addressed in the literature as one of the most effective s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cda38279357e1a6caa04e42219775c96" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88161292,"asset_id":82457817,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88161292/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457817"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457817"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457817; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457817]").text(description); $(".js-view-count[data-work-id=82457817]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457817; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457817']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "cda38279357e1a6caa04e42219775c96" } } $('.js-work-strip[data-work-id=82457817]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457817,"title":"Assessing the Status of Electricity Generation in the Non-Interconnected Islands of the Aegean Sea Region","internal_url":"https://www.academia.edu/82457817/Assessing_the_Status_of_Electricity_Generation_in_the_Non_Interconnected_Islands_of_the_Aegean_Sea_Region","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":88161292,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88161292/thumbnails/1.jpg","file_name":"Published_Version.pdf","download_url":"https://www.academia.edu/attachments/88161292/download_file","bulk_download_file_name":"Assessing_the_Status_of_Electricity_Gene.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88161292/Published_Version-libre.pdf?1656696204=\u0026response-content-disposition=attachment%3B+filename%3DAssessing_the_Status_of_Electricity_Gene.pdf\u0026Expires=1740901215\u0026Signature=PQyMo0uPXeyjj--Ejrmicy4HRG~p68kLpLBbhjCkJeSzWjQdZPnUTt~3lW-ecWAMboQIHK2sjzy9e-g~ncSS-hXBODmmL31x3cJmTcAsVqRXbhyhk-EmfBJR3qNU76AgTDqpc41uEr5NyqHdkHWZdAhqWmZ4uBk85tTzd-KzSbW1SEYMcwqXZM0igEcbl14lBI4hGYGTbwEH~RRGE2W2eJ~8vMn2gI0smw3GdEYz7zNNg9qbJQce69fPp2NjUXk1hzmZ14gcw5MjB7P-6xhu1WAApv11ctiz34~asqy2XQi8X5Tg9v~Dk9qx1UgzEkMNY1~0rupsUS30tdCVxYffSQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82457800"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82457800/%CE%A0%CF%81%CF%8C%CE%B3%CE%BD%CF%89%CF%83%CE%B7_%CF%80%CE%BF%CE%B9%CF%8C%CF%84%CE%B7%CF%84%CE%B1%CF%82_%CF%84%CE%B7%CF%82_%CE%B1%CF%84%CE%BC%CF%8C%CF%83%CF%86%CE%B1%CE%B9%CF%81%CE%B1%CF%82_%CF%83%CF%84%CE%B7%CE%BD_%CE%B5%CF%85%CF%81%CF%8D%CF%84%CE%B5%CF%81%CE%B7_%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CF%87%CE%AE_%CE%91%CE%B8%CE%B7%CE%BD%CF%8E%CE%BD_%CE%BC%CE%B5_%CF%84%CE%B7_%CF%87%CF%81%CE%AE%CF%83%CE%B7_%CE%BD%CE%B5%CF%85%CF%81%CF%89%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B4%CE%B9%CE%BA%CF%84%CF%8D%CF%89%CE%BD"><img alt="Research paper thumbnail of Πρόγνωση ποιότητας της ατμόσφαιρας στην ευρύτερη περιοχή Αθηνών με τη χρήση νευρωνικών δικτύων" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82457800/%CE%A0%CF%81%CF%8C%CE%B3%CE%BD%CF%89%CF%83%CE%B7_%CF%80%CE%BF%CE%B9%CF%8C%CF%84%CE%B7%CF%84%CE%B1%CF%82_%CF%84%CE%B7%CF%82_%CE%B1%CF%84%CE%BC%CF%8C%CF%83%CF%86%CE%B1%CE%B9%CF%81%CE%B1%CF%82_%CF%83%CF%84%CE%B7%CE%BD_%CE%B5%CF%85%CF%81%CF%8D%CF%84%CE%B5%CF%81%CE%B7_%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CF%87%CE%AE_%CE%91%CE%B8%CE%B7%CE%BD%CF%8E%CE%BD_%CE%BC%CE%B5_%CF%84%CE%B7_%CF%87%CF%81%CE%AE%CF%83%CE%B7_%CE%BD%CE%B5%CF%85%CF%81%CF%89%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B4%CE%B9%CE%BA%CF%84%CF%8D%CF%89%CE%BD">Πρόγνωση ποιότητας της ατμόσφαιρας στην ευρύτερη περιοχή Αθηνών με τη χρήση νευρωνικών δικτύων</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82457800"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82457800"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82457800; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82457800]").text(description); $(".js-view-count[data-work-id=82457800]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82457800; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82457800']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82457800]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82457800,"title":"Πρόγνωση ποιότητας της ατμόσφαιρας στην ευρύτερη περιοχή Αθηνών με τη χρήση νευρωνικών δικτύων","internal_url":"https://www.academia.edu/82457800/%CE%A0%CF%81%CF%8C%CE%B3%CE%BD%CF%89%CF%83%CE%B7_%CF%80%CE%BF%CE%B9%CF%8C%CF%84%CE%B7%CF%84%CE%B1%CF%82_%CF%84%CE%B7%CF%82_%CE%B1%CF%84%CE%BC%CF%8C%CF%83%CF%86%CE%B1%CE%B9%CF%81%CE%B1%CF%82_%CF%83%CF%84%CE%B7%CE%BD_%CE%B5%CF%85%CF%81%CF%8D%CF%84%CE%B5%CF%81%CE%B7_%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CF%87%CE%AE_%CE%91%CE%B8%CE%B7%CE%BD%CF%8E%CE%BD_%CE%BC%CE%B5_%CF%84%CE%B7_%CF%87%CF%81%CE%AE%CF%83%CE%B7_%CE%BD%CE%B5%CF%85%CF%81%CF%89%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B4%CE%B9%CE%BA%CF%84%CF%8D%CF%89%CE%BD","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="6506714" id="conferencepresentations"><div class="js-work-strip profile--work_container" data-work-id="31332303"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31332303/A_Survey_of_Indoor_Air_Quality_in_Office_Building_in_Athens_Greece"><img alt="Research paper thumbnail of A Survey of Indoor Air Quality in Office Building in Athens, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/51719009/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31332303/A_Survey_of_Indoor_Air_Quality_in_Office_Building_in_Athens_Greece">A Survey of Indoor Air Quality in Office Building in Athens, Greece</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2c250755108cfd8401b782e6bb4b90d5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51719009,"asset_id":31332303,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51719009/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31332303"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31332303"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31332303; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31332303]").text(description); $(".js-view-count[data-work-id=31332303]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31332303; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='31332303']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2c250755108cfd8401b782e6bb4b90d5" } } $('.js-work-strip[data-work-id=31332303]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":31332303,"title":"A Survey of Indoor Air Quality in Office Building in Athens, Greece","internal_url":"https://www.academia.edu/31332303/A_Survey_of_Indoor_Air_Quality_in_Office_Building_in_Athens_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":51719009,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51719009/thumbnails/1.jpg","file_name":"1992.pdf","download_url":"https://www.academia.edu/attachments/51719009/download_file","bulk_download_file_name":"A_Survey_of_Indoor_Air_Quality_in_Office.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51719009/1992-libre.pdf?1486659704=\u0026response-content-disposition=attachment%3B+filename%3DA_Survey_of_Indoor_Air_Quality_in_Office.pdf\u0026Expires=1740901215\u0026Signature=V8oxSO1AKKzAlPBwcTLcct3BDPNMMYWwuFi6UW8QiO8HztLXJro8dYl34-GQ6xf4K1MuxPtVS5NYttx5NRR~8KPQVMVIyxKt7hxBiwOJks1YLqncyEo9bXLi5oMcuNCtA5CTic2UjutG5JN4JXk5sGAqlZe8b95FEFDDpMMiTUuDn4eSV3HPwLIscsaielioTuwbaWzj5Fx7hdjTQiTbP5RgHnkOWZDgLhENy8X8cPmTVELzfgFw~doqPhNj1yRT3hKGNM1IObexaKgm9rqGZQwPrvj9OQS9WcCCucUJEU43PzZNp5jfy1cRENLJEZoPDOOGTDfYTMjS-juE8ltoHg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31332283"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31332283/Energy_Audits_in_Public_and_Commercial_Buildings_in_Greece"><img alt="Research paper thumbnail of Energy Audits in Public and Commercial Buildings in Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/51718986/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31332283/Energy_Audits_in_Public_and_Commercial_Buildings_in_Greece">Energy Audits in Public and Commercial Buildings in Greece</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2089e9c0b6188983fd417f3cf4d01ce5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51718986,"asset_id":31332283,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51718986/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31332283"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31332283"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31332283; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31332283]").text(description); $(".js-view-count[data-work-id=31332283]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31332283; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='31332283']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2089e9c0b6188983fd417f3cf4d01ce5" } } $('.js-work-strip[data-work-id=31332283]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":31332283,"title":"Energy Audits in Public and Commercial Buildings in Greece","internal_url":"https://www.academia.edu/31332283/Energy_Audits_in_Public_and_Commercial_Buildings_in_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":51718986,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51718986/thumbnails/1.jpg","file_name":"1991.pdf","download_url":"https://www.academia.edu/attachments/51718986/download_file","bulk_download_file_name":"Energy_Audits_in_Public_and_Commercial_B.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51718986/1991-libre.pdf?1486659704=\u0026response-content-disposition=attachment%3B+filename%3DEnergy_Audits_in_Public_and_Commercial_B.pdf\u0026Expires=1740901215\u0026Signature=GCMt4KcEkhQ~nj~ztGcnPrnpXWz2xCRDR~aJhE7urqQtX14VRyoA97Xbe~EB-UeAXk9Stpz9MnKjkNekqj3p6S7ZOmBAza5MOIkgNGIHH~1Hh8Hmm2qqUU8CoHRDd8y2qXens~lBAuw8azwG7YSdAKItkGW8noIeWPJfcKYKmLTovDLJijD7Ef-jK1S~EWI~cGjm6vwZPof6U09gQkMNoHs4cqn9aHBJJEoFXaP1yRx5YsqPTWMJc7qc~xAJyrIU81~BF2rrsC22rRpt8A8Yo8eeuiCM7CZ9NnVIJBhfg7sPAA-nKAXQfYu32xeGm08wo1FUCvbh-ynj3BMVE0DKlQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31332202"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31332202/Persistence_of_Discomfort_Conditions_during_Summer_Heat_Waves_over_Athens"><img alt="Research paper thumbnail of Persistence of Discomfort Conditions during Summer Heat Waves over Athens" class="work-thumbnail" src="https://attachments.academia-assets.com/51718935/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31332202/Persistence_of_Discomfort_Conditions_during_Summer_Heat_Waves_over_Athens">Persistence of Discomfort Conditions during Summer Heat Waves over Athens</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1b95a23cc4a541786fb5630361cc6551" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51718935,"asset_id":31332202,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51718935/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31332202"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31332202"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31332202; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31332202]").text(description); $(".js-view-count[data-work-id=31332202]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31332202; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='31332202']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1b95a23cc4a541786fb5630361cc6551" } } $('.js-work-strip[data-work-id=31332202]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":31332202,"title":"Persistence of Discomfort Conditions during Summer Heat Waves over Athens","internal_url":"https://www.academia.edu/31332202/Persistence_of_Discomfort_Conditions_during_Summer_Heat_Waves_over_Athens","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":51718935,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51718935/thumbnails/1.jpg","file_name":"1990-2.pdf","download_url":"https://www.academia.edu/attachments/51718935/download_file","bulk_download_file_name":"Persistence_of_Discomfort_Conditions_dur.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51718935/1990-2-libre.pdf?1486659234=\u0026response-content-disposition=attachment%3B+filename%3DPersistence_of_Discomfort_Conditions_dur.pdf\u0026Expires=1740901215\u0026Signature=U4LbH3eSPzgcR6e~YYnrwxiFeL~Yec8lgu53fLcsXfEKt3GLAUtTQCis38Rrk1nC7XfBuBrlC5dJZYAQh0KrPGD49LjF9C~PPTWavAmP7u~GmXDsFPvyrtVqvqd50k7t1Fj2fxwyEdnH23A0TQxIWU8AfWCrwRi0dvuz9pjCeWt3cIPkjHTBdZdiUKafN~NvKJaodHQbTafPuUrk-eCjtT-~XnF~uvUFFD6TPCXnpWt-mcK53PQ0qy1hPmk5lK2pboqYkYrDKhcv20vwaX2WE~WH7r7n3AL7~fTSSjnpmzoxLc-Gkeb8QKXAPh0awWu38iTSKV2bvZq~DNXsxgULGQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="31331757"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31331757/Ombrothermal_Classification_of_some_Touristic_Places_of_Greece"><img alt="Research paper thumbnail of Ombrothermal Classification of some Touristic Places of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/51718683/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31331757/Ombrothermal_Classification_of_some_Touristic_Places_of_Greece">Ombrothermal Classification of some Touristic Places of Greece</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e4657c0cc47b6dd78f58692f9b54d3ef" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":51718683,"asset_id":31331757,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/51718683/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31331757"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31331757"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31331757; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31331757]").text(description); $(".js-view-count[data-work-id=31331757]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31331757; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='31331757']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e4657c0cc47b6dd78f58692f9b54d3ef" } } $('.js-work-strip[data-work-id=31331757]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":31331757,"title":"Ombrothermal Classification of some Touristic Places of Greece","internal_url":"https://www.academia.edu/31331757/Ombrothermal_Classification_of_some_Touristic_Places_of_Greece","owner_id":31436813,"coauthors_can_edit":true,"owner":{"id":31436813,"first_name":"KONSTANTINOS","middle_initials":null,"last_name":"MOUSTRIS","page_name":"KONSTANTINOSMOUSTRIS","domain_name":"uniwa","created_at":"2015-05-22T23:59:53.944-07:00","display_name":"KONSTANTINOS MOUSTRIS","url":"https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS"},"attachments":[{"id":51718683,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/51718683/thumbnails/1.jpg","file_name":"1990-1.pdf","download_url":"https://www.academia.edu/attachments/51718683/download_file","bulk_download_file_name":"Ombrothermal_Classification_of_some_Tour.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/51718683/1990-1-libre.pdf?1486658867=\u0026response-content-disposition=attachment%3B+filename%3DOmbrothermal_Classification_of_some_Tour.pdf\u0026Expires=1740901215\u0026Signature=X6P~JqjT37VUnZ1yqA3Gcy2yPafJjIkzfMshSvzO4gNE-JD53-s~x2KxCJ0rlSXGP51x3G02Ej7FQvgCKwc4jGcpC43bmobyU0cg6lz3Dx1KT-IbitqA0xM4CNY6o1oErOixlq45B5wrKtfUoI7PtQCbKey7FTkF8Urtko18F04-EVwUyprIppM7n9TDa4UxPVx5csNoqjujlrRkLlFgviH5MF5hWhzUpYKfJagb3DNFmzLfDWUONHU2-s4MGnOISzs6-s8Fa8XzXHJXVbsoydqw~GNXLzGgK2gUFfoqr-peknhAG29QW9Va85PKvY8UTrt3oAqaLJDt91EWdTKNvA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 2 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; } .sign-in-with-apple-button > div { margin: 0 auto; / This centers the Apple-rendered button horizontally }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "734ff743a1a8288ac6f93364e97bf279f75a331dc5c2ee1d2cb9758d15d9676f", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="l7kpy1esl6Meg3TLZLk_X2jmc3JRszKo3EiEc8zDO-4tG04AnsDmG1nPKW_rF9mXorX-hdJ-jluSRXFN5DnO_g" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://uniwa.academia.edu/KONSTANTINOSMOUSTRIS" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="XX7P9tliFNlkwTBzysgw9hZTSY4U5Z6K7ew0utwKPZTn3Kg9EA5lYSONbddFZtY-3ADEeZcoInmj4cGE9PDIhA" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/hc/en-us"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2025</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>