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consumption prediction</title> <meta name="description" content="Search results for: energy consumption prediction"> <meta name="keywords" content="energy consumption prediction"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="energy consumption prediction"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 12258</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: energy consumption prediction</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12258</span> The Application of Data Mining Technology in Building Energy Consumption Data Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Liang%20Zhao">Liang Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Jili%20Zhang"> Jili Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chongquan%20Zhong"> Chongquan Zhong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy consumption data, in particular those involving public buildings, are impacted by many factors: the building structure, climate/environmental parameters, construction, system operating condition, and user behavior patterns. Traditional methods for data analysis are insufficient. This paper delves into the data mining technology to determine its application in the analysis of building energy consumption data including energy consumption prediction, fault diagnosis, and optimal operation. Recent literature are reviewed and summarized, the problems faced by data mining technology in the area of energy consumption data analysis are enumerated, and research points for future studies are given. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20analysis" title=" data analysis"> data analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20operational%20performance" title=" building operational performance"> building operational performance</a> </p> <a href="https://publications.waset.org/abstracts/35473/the-application-of-data-mining-technology-in-building-energy-consumption-data-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35473.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">852</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12257</span> Uncertainty in Building Energy Performance Analysis at Different Stages of the Building’s Lifecycle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elham%20Delzendeh">Elham Delzendeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Song%20Wu"> Song Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Al-Adhami"> Mustafa Al-Adhami</a>, <a href="https://publications.waset.org/abstracts/search?q=Rima%20Alaaeddine"> Rima Alaaeddine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the last 15 years, prediction of energy consumption has become a common practice and necessity at different stages of the building’s lifecycle, particularly, at the design and post-occupancy stages for planning and maintenance purposes. This is due to the ever-growing response of governments to address sustainability and reduction of CO₂ emission in the building sector. However, there is a level of uncertainty in the estimation of energy consumption in buildings. The accuracy of energy consumption predictions is directly related to the precision of the initial inputs used in the energy assessment process. In this study, multiple cases of large non-residential buildings at design, construction, and post-occupancy stages are investigated. The energy consumption process and inputs, and the actual and predicted energy consumption of the cases are analysed. The findings of this study have pointed out and evidenced various parameters that cause uncertainty in the prediction of energy consumption in buildings such as modelling, location data, and occupant behaviour. In addition, unavailability and insufficiency of energy-consumption-related inputs at different stages of the building’s lifecycle are classified and categorized. Understanding the roots of uncertainty in building energy analysis will help energy modellers and energy simulation software developers reach more accurate energy consumption predictions in buildings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20lifecycle" title="building lifecycle">building lifecycle</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20analysis" title=" energy analysis"> energy analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20performance" title=" energy performance"> energy performance</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertainty" title=" uncertainty"> uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/111629/uncertainty-in-building-energy-performance-analysis-at-different-stages-of-the-buildings-lifecycle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">137</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12256</span> Hybrid Wavelet-Adaptive Neuro-Fuzzy Inference System Model for a Greenhouse Energy Demand Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Azzedine%20Hamza">Azzedine Hamza</a>, <a href="https://publications.waset.org/abstracts/search?q=Chouaib%20Chakour"> Chouaib Chakour</a>, <a href="https://publications.waset.org/abstracts/search?q=Messaoud%20Ramdani"> Messaoud Ramdani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy demand prediction plays a crucial role in achieving next-generation power systems for agricultural greenhouses. As a result, high prediction quality is required for efficient smart grid management and therefore low-cost energy consumption. The aim of this paper is to investigate the effectiveness of a hybrid data-driven model in day-ahead energy demand prediction. The proposed model consists of Discrete Wavelet Transform (DWT), and Adaptive Neuro-Fuzzy Inference System (ANFIS). The DWT is employed to decompose the original signal in a set of subseries and then an ANFIS is used to generate the forecast for each subseries. The proposed hybrid method (DWT-ANFIS) was evaluated using a greenhouse energy demand data for a week and compared with ANFIS. The performances of the different models were evaluated by comparing the corresponding values of Mean Absolute Percentage Error (MAPE). It was demonstrated that discret wavelet transform can improve agricultural greenhouse energy demand modeling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wavelet%20transform" title="wavelet transform">wavelet transform</a>, <a href="https://publications.waset.org/abstracts/search?q=ANFIS" title=" ANFIS"> ANFIS</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption%20prediction" title=" energy consumption prediction"> energy consumption prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=greenhouse" title=" greenhouse"> greenhouse</a> </p> <a href="https://publications.waset.org/abstracts/163632/hybrid-wavelet-adaptive-neuro-fuzzy-inference-system-model-for-a-greenhouse-energy-demand-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163632.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">88</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12255</span> Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dalin%20Si">Dalin Si</a>, <a href="https://publications.waset.org/abstracts/search?q=Azizan%20Aziz"> Azizan Aziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Bertrand%20Lasternas"> Bertrand Lasternas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To encourage building owners to purchase electricity at the wholesale market and reduce building peak demand, this study aims to develop models that predict day-ahead hourly electricity consumption and demand using artificial neural network (ANN) and support vector machine (SVM). All prediction models are built in Python, with tool Scikit-learn and Pybrain. The input data for both consumption and demand prediction are time stamp, outdoor dry bulb temperature, relative humidity, air handling unit (AHU), supply air temperature and solar radiation. Solar radiation, which is unavailable a day-ahead, is predicted at first, and then this estimation is used as an input to predict consumption and demand. Models to predict consumption and demand are trained in both SVM and ANN, and depend on cooling or heating, weekdays or weekends. The results show that ANN is the better option for both consumption and demand prediction. It can achieve 15.50% to 20.03% coefficient of variance of root mean square error (CVRMSE) for consumption prediction and 22.89% to 32.42% CVRMSE for demand prediction, respectively. To conclude, the presented models have potential to help building owners to purchase electricity at the wholesale market, but they are not robust when used in demand response control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20energy%20prediction" title="building energy prediction">building energy prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20response" title=" demand response"> demand response</a>, <a href="https://publications.waset.org/abstracts/search?q=electricity%20market" title=" electricity market"> electricity market</a> </p> <a href="https://publications.waset.org/abstracts/54774/development-of-prediction-models-of-day-ahead-hourly-building-electricity-consumption-and-peak-power-demand-using-the-machine-learning-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54774.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">316</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12254</span> Energy Consumption, Population and Economic Development Dynamics in Nigeria: An Empirical Evidence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Evelyn%20Nwamaka%20Ogbeide-Osaretin">Evelyn Nwamaka Ogbeide-Osaretin</a>, <a href="https://publications.waset.org/abstracts/search?q=Bright%20Orhewere"> Bright Orhewere</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examined the role of the population in the linkage between energy consumption and economic development in Nigeria. Time series data on energy consumption, population, and economic development were used for the period 1995 to 2020. The Autoregressive Distributed Lag -Error Correction Model (ARDL-ECM) was engaged. Economic development had a negative substantial impact on energy consumption in the long run. Population growth had a positive significant effect on energy consumption. Government expenditure was also found to impact the level of energy consumption, while energy consumption is not a function of oil price in Nigeria. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20analysis" title="dynamic analysis">dynamic analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=population" title=" population"> population</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20development" title=" economic development"> economic development</a>, <a href="https://publications.waset.org/abstracts/search?q=Nigeria" title=" Nigeria"> Nigeria</a> </p> <a href="https://publications.waset.org/abstracts/148993/energy-consumption-population-and-economic-development-dynamics-in-nigeria-an-empirical-evidence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148993.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">180</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12253</span> Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anne-Lena%20Kampen">Anne-Lena Kampen</a>, <a href="https://publications.waset.org/abstracts/search?q=%C3%98ivind%20Kure"> Øivind Kure</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Machine learning (ML) can be implemented in Wireless Sensor Networks (WSNs) as a central solution or distributed solution where the ML is embedded in the nodes. Embedding improves privacy and may reduce prediction delay. In addition, the number of transmissions is reduced. However, quality factors such as prediction accuracy, fault detection efficiency and coordinated control of the overall system suffer. Here, we discuss and highlight the trade-offs that should be considered when choosing between embedding and centralized ML, especially for multihop networks. In addition, we present estimations that demonstrate the energy trade-offs between embedded and centralized ML. Although the total network energy consumption is lower with central prediction, it makes the network more prone for partitioning due to the high forwarding load on the one-hop nodes. Moreover, the continuous improvements in the number of operations per joule for embedded devices will move the energy balance toward embedded prediction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=central%20machine%20learning" title="central machine learning">central machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=embedded%20machine%20learning" title=" embedded machine learning"> embedded machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20machine%20learning" title=" local machine learning"> local machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks" title=" wireless sensor networks"> wireless sensor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=WSN" title=" WSN"> WSN</a> </p> <a href="https://publications.waset.org/abstracts/127522/discussing-embedded-versus-central-machine-learning-in-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127522.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12252</span> Virtual Metering and Prediction of Heating, Ventilation, and Air Conditioning Systems Energy Consumption by Using Artificial Intelligence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pooria%20Norouzi">Pooria Norouzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nicholas%20Tsang"> Nicholas Tsang</a>, <a href="https://publications.waset.org/abstracts/search?q=Adam%20van%20der%20Goes"> Adam van der Goes</a>, <a href="https://publications.waset.org/abstracts/search?q=Joseph%20Yu"> Joseph Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Douglas%20Zheng"> Douglas Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Sirine%20Maleej"> Sirine Maleej</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, virtual meters will be designed and used for energy balance measurements of an air handling unit (AHU). The method aims to replace traditional physical sensors in heating, ventilation, and air conditioning (HVAC) systems with simulated virtual meters. Due to the inability to manage and monitor these systems, many HVAC systems have a high level of inefficiency and energy wastage. Virtual meters are implemented and applied in an actual HVAC system, and the result confirms the practicality of mathematical sensors for alternative energy measurement. While most residential buildings and offices are commonly not equipped with advanced sensors, adding, exploiting, and monitoring sensors and measurement devices in the existing systems can cost thousands of dollars. The first purpose of this study is to provide an energy consumption rate based on available sensors and without any physical energy meters. It proves the performance of virtual meters in HVAC systems as reliable measurement devices. To demonstrate this concept, mathematical models are created for AHU-07, located in building NE01 of the British Columbia Institute of Technology (BCIT) Burnaby campus. The models will be created and integrated with the system’s historical data and physical spot measurements. The actual measurements will be investigated to prove the models' accuracy. Based on preliminary analysis, the resulting mathematical models are successful in plotting energy consumption patterns, and it is concluded confidently that the results of the virtual meter will be close to the results that physical meters could achieve. In the second part of this study, the use of virtual meters is further assisted by artificial intelligence (AI) in the HVAC systems of building to improve energy management and efficiency. By the data mining approach, virtual meters’ data is recorded as historical data, and HVAC system energy consumption prediction is also implemented in order to harness great energy savings and manage the demand and supply chain effectively. Energy prediction can lead to energy-saving strategies and considerations that can open a window in predictive control in order to reach lower energy consumption. To solve these challenges, the energy prediction could optimize the HVAC system and automates energy consumption to capture savings. This study also investigates AI solutions possibility for autonomous HVAC efficiency that will allow quick and efficient response to energy consumption and cost spikes in the energy market. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=virtual%20meters" title="virtual meters">virtual meters</a>, <a href="https://publications.waset.org/abstracts/search?q=HVAC" title=" HVAC"> HVAC</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption%20prediction" title=" energy consumption prediction"> energy consumption prediction</a> </p> <a href="https://publications.waset.org/abstracts/153373/virtual-metering-and-prediction-of-heating-ventilation-and-air-conditioning-systems-energy-consumption-by-using-artificial-intelligence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153373.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">104</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12251</span> Energy Consumption Forecast Procedure for an Industrial Facility</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tatyana%20Aleksandrovna%20Barbasova">Tatyana Aleksandrovna Barbasova</a>, <a href="https://publications.waset.org/abstracts/search?q=Lev%20Sergeevich%20Kazarinov"> Lev Sergeevich Kazarinov</a>, <a href="https://publications.waset.org/abstracts/search?q=Olga%20Valerevna%20Kolesnikova"> Olga Valerevna Kolesnikova</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandra%20Aleksandrovna%20Filimonova"> Aleksandra Aleksandrovna Filimonova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We regard forecasting of energy consumption by private production areas of a large industrial facility as well as by the facility itself. As for production areas the forecast is made based on empirical dependencies of the specific energy consumption and the production output. As for the facility itself implementation of the task to minimize the energy consumption forecasting error is based on adjustment of the facility’s actual energy consumption values evaluated with the metering device and the total design energy consumption of separate production areas of the facility. The suggested procedure of optimal energy consumption was tested based on the actual data of core product output and energy consumption by a group of workshops and power plants of the large iron and steel facility. Test results show that implementation of this procedure gives the mean accuracy of energy consumption forecasting for winter 2014 of 0.11% for the group of workshops and 0.137% for the power plants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title="energy consumption">energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption%20forecasting%20error" title=" energy consumption forecasting error"> energy consumption forecasting error</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting%20accuracy" title=" forecasting accuracy"> forecasting accuracy</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a> </p> <a href="https://publications.waset.org/abstracts/38729/energy-consumption-forecast-procedure-for-an-industrial-facility" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38729.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">446</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12250</span> Energy Potential of Turkey and Evaluation of Solar Energy Technology as an Alternative Energy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naci%20B%C3%BCy%C3%BCkkarac%C4%B1%C4%9Fan">Naci Büyükkaracığan</a>, <a href="https://publications.waset.org/abstracts/search?q=Murat%20Ahmet%20%C3%96kmen"> Murat Ahmet Ökmen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Emerging demand for energy in developing countries rapid population growth and industrialization are causing a rapid increase, such as Turkey. Energy is an important and indispensable factor in the industry. At the same time, energy is one of the main indicators that reflect a country's economic and social development potential. There is a linear relationship between the energy consumption and social development, and in parallel this situation, it is seen that energy consumption increase with economic growth and prosperity. In recent year’s, energy sources consumption is increasingly continuing, because of population growth and economy in Turkey. 80% of the energy used in Turkey is supplied from abroad. At the same time, while almost all of the energy obtained from our country is met by hydropower. Alternatively, studies of determining and using potential renewable energy sources such as solar energy have been realized for recent years. In this study, first of all, the situation of energy sources was examined in Turkey. Information of reserve/capacity, production and consumption values of energy sources were emphasized. For this purpose, energy production and consumption, CO2 emission and electricity energy consumption of countries were investigated. Energy consumption and electricity energy consumption per capita were comparatively analyzed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20potential" title="energy potential">energy potential</a>, <a href="https://publications.waset.org/abstracts/search?q=alternative%20energy%20sources" title=" alternative energy sources"> alternative energy sources</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20energy" title=" solar energy"> solar energy</a>, <a href="https://publications.waset.org/abstracts/search?q=Turkey" title=" Turkey"> Turkey</a> </p> <a href="https://publications.waset.org/abstracts/61213/energy-potential-of-turkey-and-evaluation-of-solar-energy-technology-as-an-alternative-energy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61213.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">440</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12249</span> Research on Energy-Related Occupant Behavior of Residential Air Conditioning Based on Zigbee Intelligent Electronic Equipment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dawei%20Xia">Dawei Xia</a>, <a href="https://publications.waset.org/abstracts/search?q=Benyan%20Jiang"> Benyan Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong%20Li"> Yong Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Split-type air conditioners is widely used for indoor temperature regulation in urban residential buildings in summer in China. The energy-related occupant behavior has a great impact on building energy consumption. Obtaining the energy-related occupant behavior data of air conditioners is the research basis for the energy consumption prediction and simulation. Relying on the development of sensing and control technology, this paper selects Zigbee intelligent electronic equipment to monitor the energy-related occupant behavior of 20 households for 3 months in summer. Through analysis of data, it is found that people of different ages in the region have significant difference in the time, duration, frequency, and energy consumption of air conditioners, and form a data model of three basic energy-related occupant behavior patterns to provide an accurate simulation of energy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=occupant%20behavior" title="occupant behavior">occupant behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=Zigbee" title=" Zigbee"> Zigbee</a>, <a href="https://publications.waset.org/abstracts/search?q=split%20air%20conditioner" title=" split air conditioner"> split air conditioner</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20simulation" title=" energy simulation"> energy simulation</a> </p> <a href="https://publications.waset.org/abstracts/100960/research-on-energy-related-occupant-behavior-of-residential-air-conditioning-based-on-zigbee-intelligent-electronic-equipment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100960.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">196</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12248</span> The Relationship between Value-Added and Energy Consumption in Iran’s Industry Sector</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Morteza%20Raei%20Dehaghi">Morteza Raei Dehaghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mojtaba%20Molaahmadi"> Mojtaba Molaahmadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Mohammad%20Mirhashemi"> Seyed Mohammad Mirhashemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aimed to explore the relationship between energy consumption and value-added in Iran’s industry sector during the time period 1973-2011. Annual data related to energy consumption and value added in the industry sector were used. The results of the study revealed a positive relationship between energy consumption and value-added of the industry sector. Similarly, the results showed that there is one-way causality between energy consumption and value-added in the industry sector. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20growth" title="economic growth">economic growth</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=granger%20causality%20test" title=" granger causality test"> granger causality test</a>, <a href="https://publications.waset.org/abstracts/search?q=industry%20sector" title=" industry sector"> industry sector</a> </p> <a href="https://publications.waset.org/abstracts/38575/the-relationship-between-value-added-and-energy-consumption-in-irans-industry-sector" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38575.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">482</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12247</span> Combining Chiller and Variable Frequency Drives</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasir%20Khalid">Nasir Khalid</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Thirumalaichelvam"> S. Thirumalaichelvam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In most buildings, according to US Department of Energy Data Book, the electrical consumption attributable to centralized heating and ventilation of air- condition (HVAC) component can be as high as 40-60% of the total electricity consumption for an entire building. To provide efficient energy management for the market today, researchers are finding new ways to develop a system that can save electrical consumption of buildings even more. In this concept paper, a system known as Intelligent Chiller Energy Efficiency (iCEE) System is being developed that is capable of saving up to 25% from the chiller’s existing electrical energy consumption. In variable frequency drives (VFDs), research has found significant savings up to 30% of electrical energy consumption. Together with the VFDs at specific Air Handling Unit (AHU) of HVAC component, this system will save even more electrical energy consumption. The iCEE System is compatible with any make, model or age of centrifugal, rotary or reciprocating chiller air-conditioning systems which are electrically driven. The iCEE system uses engineering principles of efficiency analysis, enthalpy analysis, heat transfer, mathematical prediction, modified genetic algorithm, psychometrics analysis, and optimization formulation to achieve true and tangible energy savings for consumers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=variable%20frequency%20drives" title="variable frequency drives">variable frequency drives</a>, <a href="https://publications.waset.org/abstracts/search?q=adjustable%20speed%20drives" title=" adjustable speed drives"> adjustable speed drives</a>, <a href="https://publications.waset.org/abstracts/search?q=ac%20drives" title=" ac drives"> ac drives</a>, <a href="https://publications.waset.org/abstracts/search?q=chiller%20energy%20system" title=" chiller energy system"> chiller energy system</a> </p> <a href="https://publications.waset.org/abstracts/34795/combining-chiller-and-variable-frequency-drives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34795.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">558</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12246</span> Hybrid Renewable Energy System Development Towards Autonomous Operation: The Deployment Potential in Greece</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afroditi%20Zamanidou">Afroditi Zamanidou</a>, <a href="https://publications.waset.org/abstracts/search?q=Dionysios%20Giannakopoulos"> Dionysios Giannakopoulos</a>, <a href="https://publications.waset.org/abstracts/search?q=Konstantinos%20Manolitsis"> Konstantinos Manolitsis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A notable amount of electrical energy demand in many countries worldwide is used to cover public energy demand for road, square and other public spaces’ lighting. Renewable energy can contribute in a significant way to the electrical energy demand coverage for public lighting. This paper focuses on the sizing and design of a hybrid energy system (HES) exploiting the solar-wind energy potential to meet the electrical energy needs of lighting roads, squares and other public spaces. Moreover, the proposed HES provides coverage of the electrical energy demand for a Wi-Fi hotspot and a charging hotspot for the end-users. Alongside the sizing of the energy production system of the proposed HES, in order to ensure a reliable supply without interruptions, a storage system is added and sized. Multiple scenarios of energy consumption are assumed and applied in order to optimize the sizing of the energy production system and the energy storage system. A database with meteorological prediction data for 51 areas in Greece is developed in order to assess the possible deployment of the proposed HES. Since there are detailed meteorological prediction data for all 51 areas under investigation, the use of these data is evaluated, comparing them to real meteorological data. The meteorological prediction data are exploited to form three hourly production profiles for each area for every month of the year; minimum, average and maximum energy production. The energy production profiles are combined with the energy consumption scenarios and the sizing results of the energy production system and the energy storage system are extracted and presented for every area. Finally, the economic performance of the proposed HES in terms of Levelized cost of energy is estimated by calculating and assessing construction, operation and maintenance costs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20production%20system%20sizing" title="energy production system sizing">energy production system sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=Greece%E2%80%99s%20deployment%20potential" title=" Greece’s deployment potential"> Greece’s deployment potential</a>, <a href="https://publications.waset.org/abstracts/search?q=meteorological%20prediction%20data" title=" meteorological prediction data"> meteorological prediction data</a>, <a href="https://publications.waset.org/abstracts/search?q=wind-solar%20hybrid%20energy%20system" title=" wind-solar hybrid energy system"> wind-solar hybrid energy system</a>, <a href="https://publications.waset.org/abstracts/search?q=levelized%20cost%20of%20energy" title=" levelized cost of energy"> levelized cost of energy</a> </p> <a href="https://publications.waset.org/abstracts/143514/hybrid-renewable-energy-system-development-towards-autonomous-operation-the-deployment-potential-in-greece" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143514.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">154</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12245</span> Biomimetic Building Envelopes to Reduce Energy Consumption in Hot and Dry Climates</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aswitha%20Bachala">Aswitha Bachala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy shortage became a worldwide major problem since the 1970s, due to high energy consumption. Buildings are the primary energy users which consume 40% of global energy consumption, in which, 40%-50% of building’s energy usage is consumed due to its envelope. In hot and dry climates, 40% of energy is consumed only for cooling purpose, which implies major portion of energy savings can be worked through the envelopes. Biomimicry can be one solution for extracting efficient thermoregulation strategies found in nature. This paper aims to identify different biomimetic building envelopes which shall offer a higher potential to reduce energy consumption in hot and dry climates. It focuses on investigating the scope for reducing energy consumption through biomimetic approach in terms of envelopes. An in-depth research on different biomimetic building envelopes will be presented and analyzed in terms of heat absorption, in addition to, the impact it had on reducing the buildings energy consumption. This helps to understand feasible biomimetic building envelopes to mitigate heat absorption in hot and dry climates. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomimicry" title="biomimicry">biomimicry</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20envelopes" title=" building envelopes"> building envelopes</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=hot%20and%20dry%20climate" title=" hot and dry climate"> hot and dry climate</a> </p> <a href="https://publications.waset.org/abstracts/81952/biomimetic-building-envelopes-to-reduce-energy-consumption-in-hot-and-dry-climates" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81952.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">215</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12244</span> Mapping of Electrical Energy Consumption Yogyakarta Province in 2014-2025</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alfi%20Al%20Fahreizy">Alfi Al Fahreizy </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Yogyakarta is one of the provinces in Indonesia that often get a power outage because of high load electrical consumption. The authors mapped the electrical energy consumption [GWh] for the province of Yogyakarta in 2014-2025 using LEAP (Long-range Energy Alternatives Planning system) software. This paper use BAU (Business As Usual) scenario. BAU scenario in which the projection is based on the assumption that growth in electricity consumption will run as normally as before. The goal is to be able to see the electrical energy consumption in the household sector, industry , business, social, government office building, and street lighting. The data is the data projected statistical population and consumption data electricity [GWh] 2010, 2011, 2012 in Yogyakarta province. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LEAP" title="LEAP">LEAP</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=Yogyakarta" title=" Yogyakarta"> Yogyakarta</a>, <a href="https://publications.waset.org/abstracts/search?q=BAU" title=" BAU"> BAU</a> </p> <a href="https://publications.waset.org/abstracts/20956/mapping-of-electrical-energy-consumption-yogyakarta-province-in-2014-2025" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20956.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">597</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12243</span> Environmental Sustainability and Energy Consumption: The Role of Financial Development in OPEC-1 Countries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isah%20Wada">Isah Wada</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current research investigates the role of financial development in an environmental sustainability-energy consumption nexus for OPEC-1 member countries. The empirical findings suggest that financial development increases environmental sustainability but energy consumption and real output expansion diminishes environmental sustainability, generally. Thus, whilst real output and financial development accelerates energy consumption, environmental sustainability quality diminishes clean energy initiatives. Even more so, energy consumption and financial development stimulates real output growth. The result empirically demonstrates that policy advocates must address broader issues relating to financial development whilst seeking to achieve environmental sustainability due largely to energy consumption. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title="energy consumption">energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20sustainability" title=" environmental sustainability"> environmental sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20development" title=" financial development"> financial development</a>, <a href="https://publications.waset.org/abstracts/search?q=OPEC" title=" OPEC"> OPEC</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20output" title=" real output"> real output</a> </p> <a href="https://publications.waset.org/abstracts/121658/environmental-sustainability-and-energy-consumption-the-role-of-financial-development-in-opec-1-countries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121658.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12242</span> Optimization of Energy Consumption with Various Design Parameters on Office Buildings in Chinese Severe Cold Zone</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuang%20Guo">Yuang Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Dewancker%20Bart"> Dewancker Bart</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The primary energy consumption of buildings throughout China was approximately 814 million tons of coal equivalents in 2014, which accounts for 19.12% of China's total primary energy consumption. Also, the energy consumption of public buildings takes a bigger share than urban residential buildings and rural residential buildings among the total energy consumption. To improve the level of energy demand, various design parameters were chosen. Meanwhile, a series of simulations by Energy Plus (EP-Launch) is performed using a base case model established in Open Studio. Through the results, 16%-23% of total energy demand reductions can be found in the severe cold zone of China, and it can also provide a reference for the architectural design of other similar climate zones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title="energy consumption">energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20parameters" title=" design parameters"> design parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=indoor%20thermal%20comfort" title=" indoor thermal comfort"> indoor thermal comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation%20study" title=" simulation study"> simulation study</a>, <a href="https://publications.waset.org/abstracts/search?q=severe%20cold%20climate%20zone" title=" severe cold climate zone"> severe cold climate zone</a> </p> <a href="https://publications.waset.org/abstracts/115217/optimization-of-energy-consumption-with-various-design-parameters-on-office-buildings-in-chinese-severe-cold-zone" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115217.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12241</span> Granger Causal Nexus between Financial Development and Energy Consumption: Evidence from Cross Country Panel Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rudra%20P.%20Pradhan">Rudra P. Pradhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examines the Granger causal nexus between financial development and energy consumption in the group of 35 Financial Action Task Force (FATF) Countries over the period 1988-2012. The study uses two financial development indicators such as private sector credit and stock market capitalization and seven energy consumption indicators such as coal, oil, gas, electricity, hydro-electrical, nuclear and biomass. Using panel cointegration tests, the study finds that financial development and energy consumption are cointegrated, indicating the presence of a long-run relationship between the two. Using a panel vector error correction model (VECM), the study detects both bidirectional and unidirectional causality between financial development and energy consumption. The variation of this causality is due to the use of different proxies for both financial development and energy consumption. The policy implication of this study is that economic policies should recognize the differences in the financial development-energy consumption nexus in order to maintain sustainable development in the selected 35 FATF countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title="energy consumption">energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20development" title=" financial development"> financial development</a>, <a href="https://publications.waset.org/abstracts/search?q=FATF%20countries" title=" FATF countries"> FATF countries</a>, <a href="https://publications.waset.org/abstracts/search?q=Panel%20VECM" title=" Panel VECM"> Panel VECM</a> </p> <a href="https://publications.waset.org/abstracts/54629/granger-causal-nexus-between-financial-development-and-energy-consumption-evidence-from-cross-country-panel-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">265</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12240</span> Electricity Consumption and Economic Growth: The Case of Mexico</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mario%20G%C3%B3mez">Mario Gómez</a>, <a href="https://publications.waset.org/abstracts/search?q=Jos%C3%A9%20Carlos%20Rodr%C3%ADguez"> José Carlos Rodríguez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The causal relationship between energy consumption and economic growth has been an important issue in the economic literature. This paper studies the causal relationship between electricity consumption and economic growth in Mexico for the period of 1971-2011. In so doing, unit root tests and causality test are applied. The results show that the series are stationary in levels and that there is causality running from economic growth to energy consumption. The energy conservation policies have little or no impact on economic growth in México. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=causality" title="causality">causality</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20growth" title=" economic growth"> economic growth</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=Mexico" title=" Mexico"> Mexico</a> </p> <a href="https://publications.waset.org/abstracts/27583/electricity-consumption-and-economic-growth-the-case-of-mexico" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27583.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">858</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12239</span> Centralized Peak Consumption Smoothing Revisited for Habitat Energy Scheduling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Benbouzid">M. Benbouzid</a>, <a href="https://publications.waset.org/abstracts/search?q=Q.%20Bresson"> Q. Bresson</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Duclos"> A. Duclos</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Longo"> K. Longo</a>, <a href="https://publications.waset.org/abstracts/search?q=Q.%20Morel"> Q. Morel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently, electricity suppliers must predict the consumption of their customers in order to deduce the power they need to produce. It is, then, important in a first step to optimize household consumption to obtain more constant curves by limiting peaks in energy consumption. Here centralized real time scheduling is proposed to manage the equipment's starting in parallel. The aim is not to exceed a certain limit while optimizing the power consumption across a habitat. The Raspberry Pi is used as a box; this scheduler interacts with the various sensors in 6LoWPAN. At the scale of a single dwelling, household consumption decreases, particularly at times corresponding to the peaks. However, it would be wiser to consider the use of a residential complex so that the result would be more significant. So, the ceiling would no longer be fixed. The scheduling would be done on two scales, firstly, per dwelling, and secondly, at the level of a residential complex. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=smart%20grid" title="smart grid">smart grid</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20box" title=" energy box"> energy box</a>, <a href="https://publications.waset.org/abstracts/search?q=scheduling" title=" scheduling"> scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=Gang%20Model" title=" Gang Model"> Gang Model</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20management%20system" title=" energy management system"> energy management system</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20network" title=" wireless sensor network"> wireless sensor network</a> </p> <a href="https://publications.waset.org/abstracts/1855/centralized-peak-consumption-smoothing-revisited-for-habitat-energy-scheduling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1855.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">313</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12238</span> Performance Analysis of Bluetooth Low Energy Mesh Routing Algorithm in Case of Disaster Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asmir%20Gogic">Asmir Gogic</a>, <a href="https://publications.waset.org/abstracts/search?q=Aljo%20Mujcic"> Aljo Mujcic</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandra%20Ibric"> Sandra Ibric</a>, <a href="https://publications.waset.org/abstracts/search?q=Nermin%20Suljanovic"> Nermin Suljanovic</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ubiquity of natural disasters during last few decades have risen serious questions towards the prediction of such events and human safety. Every disaster regardless its proportion has a precursor which is manifested as a disruption of some environmental parameter such as temperature, humidity, pressure, vibrations and etc. In order to anticipate and monitor those changes, in this paper we propose an overall system for disaster prediction and monitoring, based on wireless sensor network (WSN). Furthermore, we introduce a modified and simplified WSN routing protocol built on the top of the trickle routing algorithm. Routing algorithm was deployed using the bluetooth low energy protocol in order to achieve low power consumption. Performance of the WSN network was analyzed using a real life system implementation. Estimates of the WSN parameters such as battery life time, network size and packet delay are determined. Based on the performance of the WSN network, proposed system can be utilized for disaster monitoring and prediction due to its low power profile and mesh routing feature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bluetooth%20low%20energy" title="bluetooth low energy">bluetooth low energy</a>, <a href="https://publications.waset.org/abstracts/search?q=disaster%20prediction" title=" disaster prediction"> disaster prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=mesh%20routing%20protocols" title=" mesh routing protocols"> mesh routing protocols</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks" title=" wireless sensor networks"> wireless sensor networks</a> </p> <a href="https://publications.waset.org/abstracts/43894/performance-analysis-of-bluetooth-low-energy-mesh-routing-algorithm-in-case-of-disaster-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43894.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12237</span> Development of a Decision-Making Method by Using Machine Learning Algorithms in the Early Stage of School Building Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pegah%20Eshraghi">Pegah Eshraghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Sadat%20Zomorodian"> Zahra Sadat Zomorodian</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Tahsildoost"> Mohammad Tahsildoost</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the past decade, energy consumption in educational buildings has steadily increased. The purpose of this research is to provide a method to quickly predict the energy consumption of buildings using separate evaluation of zones and decomposing the building to eliminate the complexity of geometry at the early design stage. To produce this framework, machine learning algorithms such as Support vector regression (SVR) and Artificial neural network (ANN) are used to predict energy consumption and thermal comfort metrics in a school as a case. The database consists of more than 55000 samples in three climates of Iran. Cross-validation evaluation and unseen data have been used for validation. In a specific label, cooling energy, it can be said the accuracy of prediction is at least 84% and 89% in SVR and ANN, respectively. The results show that the SVR performed much better than the ANN. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=early%20stage%20of%20design" title="early stage of design">early stage of design</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20comfort" title=" thermal comfort"> thermal comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=validation" title=" validation"> validation</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/179246/development-of-a-decision-making-method-by-using-machine-learning-algorithms-in-the-early-stage-of-school-building-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179246.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">98</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12236</span> Energy Consumption and Energy Conservation Potential for HVAC System in Commercial Buildings Sector in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rishabh%20Agrawal">Rishabh Agrawal</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20C.%20Kaushik"> S. C. Kaushik</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20Bhatti"> T. S. Bhatti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to reduce energy consumption for sustainable development, continuous energy consumption tracking of building energy systems are essential. In this paper an assessment study has been done to identify the energy consumption & energy conservation potential for commercial buildings sector in Karnataka state, India. There are a total of 326 commercial buildings in the state of Karnataka who has qualified as designated consumers (i.e., having a Contract Demand ≥ 600 KVA), was consider for the study. It has estimated that the annual electricity sale to commercial sector is 3.62 Billion Units (BU) in alone Karnataka State, India, which is an account for 9.57 % of the total electricity sold. The commercial sector constitutes Government & private establishments, hospitals, hotels, restaurants, educational institutions, malls etc. Total 326 commercial buildings in the state accounting for annual energy consumption of 1295.72 Million Units (MU) which works out to about 35% of the sectoral consumption. The annual energy savings potential for 326 commercial buildings is assessed to be 0.25 BU. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=commercial%20buildings" title="commercial buildings">commercial buildings</a>, <a href="https://publications.waset.org/abstracts/search?q=connected%20load" title=" connected load"> connected load</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20conservation%20studies" title=" energy conservation studies"> energy conservation studies</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20savings" title=" energy savings"> energy savings</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20conservation%20strategy" title=" energy conservation strategy"> energy conservation strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20energy" title=" thermal energy"> thermal energy</a>, <a href="https://publications.waset.org/abstracts/search?q=HVAC%20system" title=" HVAC system"> HVAC system</a> </p> <a href="https://publications.waset.org/abstracts/33896/energy-consumption-and-energy-conservation-potential-for-hvac-system-in-commercial-buildings-sector-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33896.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">580</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12235</span> Development of a Decision-Making Method by Using Machine Learning Algorithms in the Early Stage of School Building Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rajaian%20Hoonejani%20Mohammad">Rajaian Hoonejani Mohammad</a>, <a href="https://publications.waset.org/abstracts/search?q=Eshraghi%20Pegah"> Eshraghi Pegah</a>, <a href="https://publications.waset.org/abstracts/search?q=Zomorodian%20Zahra%20Sadat"> Zomorodian Zahra Sadat</a>, <a href="https://publications.waset.org/abstracts/search?q=Tahsildoost%20Mohammad"> Tahsildoost Mohammad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the past decade, energy consumption in educational buildings has steadily increased. The purpose of this research is to provide a method to quickly predict the energy consumption of buildings using separate evaluation of zones and decomposing the building to eliminate the complexity of geometry at the early design stage. To produce this framework, machine learning algorithms such as Support vector regression (SVR) and Artificial neural network (ANN) are used to predict energy consumption and thermal comfort metrics in a school as a case. The database consists of more than 55000 samples in three climates of Iran. Cross-validation evaluation and unseen data have been used for validation. In a specific label, cooling energy, it can be said the accuracy of prediction is at least 84% and 89% in SVR and ANN, respectively. The results show that the SVR performed much better than the ANN. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=early%20stage%20of%20design" title="early stage of design">early stage of design</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20comfort" title=" thermal comfort"> thermal comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=validation" title=" validation"> validation</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/181639/development-of-a-decision-making-method-by-using-machine-learning-algorithms-in-the-early-stage-of-school-building-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181639.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">73</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12234</span> Photovoltaic System: An Alternative to Energy Efficiency in a Residence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arsenio%20Jose%20Mindu">Arsenio Jose Mindu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concern to carry out a study related to Energy Efficiency arose based on the various debates in international television networks and not only, but also in several forums of national debates. The concept of Energy Efficiency is not yet widely disseminated and /or taken into account in terms of energy consumption, not only at the domestic level but also at the industrial level in Mozambique. In the context of the energy audit, the time during which each of the appliances is connected to the voltage source, the time during which they are in standby mode was recorded on a spreadsheet basis. Based on these data, daily and monthly consumption was calculated. In order to have more accurate information on the daily levels of daily consumption, the electricity consumption was read every hour of the day (from 5:00 am to 11:00 pm), since after 23:00 the energy consumption remains constant. For ten days. Based on the daily energy consumption and the maximum consumption power, the design of the photovoltaic system for the residence was made. With the implementation of the photovoltaic system in order to guarantee energy efficiency, there was a significant reduction in the use of electricity from the public grid, increasing from approximately 17 kwh per day to around 11 kwh, thus achieving an energy efficiency of 67.4 %. That is to say, there was a reduction not only in terms of the amount of energy consumed but also of the monthly expenses with electricity, having increased from around 2,500,00Mt (2,500 meticais) to around 800Mt per month. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title="energy efficiency">energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20system" title=" photovoltaic system"> photovoltaic system</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20sector" title=" residential sector"> residential sector</a>, <a href="https://publications.waset.org/abstracts/search?q=Mozambique" title=" Mozambique"> Mozambique</a> </p> <a href="https://publications.waset.org/abstracts/76399/photovoltaic-system-an-alternative-to-energy-efficiency-in-a-residence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76399.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">206</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12233</span> Disaggregating and Forecasting the Total Energy Consumption of a Building: A Case Study of a High Cooling Demand Facility</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Juliana%20Barcelos%20Cordeiro">Juliana Barcelos Cordeiro</a>, <a href="https://publications.waset.org/abstracts/search?q=Khashayar%20Mahani"> Khashayar Mahani</a>, <a href="https://publications.waset.org/abstracts/search?q=Farbod%20Farzan"> Farbod Farzan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohsen%20A.%20Jafari"> Mohsen A. Jafari </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy disaggregation has been focused by many energy companies since energy efficiency can be achieved when the breakdown of energy consumption is known. Companies have been investing in technologies to come up with software and/or hardware solutions that can provide this type of information to the consumer. On the other hand, not all people can afford to have these technologies. Therefore, in this paper, we present a methodology for breaking down the aggregate consumption and identifying the highdemanding end-uses profiles. These energy profiles will be used to build the forecast model for optimal control purpose. A facility with high cooling load is used as an illustrative case study to demonstrate the results of proposed methodology. We apply a high level energy disaggregation through a pattern recognition approach in order to extract the consumption profile of its rooftop packaged units (RTUs) and present a forecast model for the energy consumption.   <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption%20forecasting" title="energy consumption forecasting">energy consumption forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=load%20disaggregation" title=" load disaggregation"> load disaggregation</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition%20approach" title=" pattern recognition approach"> pattern recognition approach</a> </p> <a href="https://publications.waset.org/abstracts/44047/disaggregating-and-forecasting-the-total-energy-consumption-of-a-building-a-case-study-of-a-high-cooling-demand-facility" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44047.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">277</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12232</span> Application of Grasshopper Optimization Algorithm for Design and Development of Net Zero Energy Residential Building in Ahmedabad, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Debasis%20Sarkar">Debasis Sarkar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to apply the Grasshopper-Optimization-Algorithm (GOA) for designing and developing a Net-Zero-Energy residential building for a mega-city like Ahmedabad in India. The methodology implemented includes advanced tools like Revit for model creation and MATLAB for simulation, enabling the optimization of the building design. GOA has been applied in reducing cooling loads and overall energy consumption through optimized passive design features. For the attainment of a net zero energy mission, solar panels were installed on the roof of the building. It has been observed that the energy consumption of 8490 kWh was supported by the installed solar panels. Thereby only 840kWh had to be supported by non-renewable energy sources. The energy consumption was further reduced through the application of simulation and optimization methods like GOA, which further reduced the energy consumption to about 37.56 kWh per month from April to July when energy demand was at its peak. This endeavor aimed to achieve near-zero-energy consumption, showcasing the potential of renewable energy integration in building sustainability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=grasshopper%20optimization%20algorithm" title="grasshopper optimization algorithm">grasshopper optimization algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=net%20zero%20energy" title=" net zero energy"> net zero energy</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20building" title=" residential building"> residential building</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20design" title=" sustainable design"> sustainable design</a> </p> <a href="https://publications.waset.org/abstracts/188220/application-of-grasshopper-optimization-algorithm-for-design-and-development-of-net-zero-energy-residential-building-in-ahmedabad-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188220.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">38</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12231</span> Reconfigurable Ubiquitous Computing Infrastructure for Load Balancing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Sellami">Khaled Sellami</a>, <a href="https://publications.waset.org/abstracts/search?q=Lynda%20Sellami"> Lynda Sellami</a>, <a href="https://publications.waset.org/abstracts/search?q=Pierre%20F.%20Tiako"> Pierre F. Tiako</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ubiquitous computing helps make data and services available to users anytime and anywhere. This makes the cooperation of devices a crucial need. In return, such cooperation causes an overload of the devices and/or networks, resulting in network malfunction and suspension of its activities. Our goal in this paper is to propose an approach of devices reconfiguration in order to help to reduce the energy consumption in ubiquitous environments. The idea is that when high-energy consumption is detected, we proceed to a change in component distribution on the devices to reduce and/or balance the energy consumption. We also investigate the possibility to detect high-energy consumption of devices/network based on devices abilities. As a result, our idea realizes a reconfiguration of devices aimed at reducing the consumption of energy and/or load balancing in ubiquitous environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ubiquitous%20computing" title="ubiquitous computing">ubiquitous computing</a>, <a href="https://publications.waset.org/abstracts/search?q=load%20balancing" title=" load balancing"> load balancing</a>, <a href="https://publications.waset.org/abstracts/search?q=device%20energy%20consumption" title=" device energy consumption"> device energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=reconfiguration" title=" reconfiguration "> reconfiguration </a> </p> <a href="https://publications.waset.org/abstracts/90412/reconfigurable-ubiquitous-computing-infrastructure-for-load-balancing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90412.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">275</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12230</span> Evaluating the Impact of Replacement Policies on the Cache Performance and Energy Consumption in Different Multicore Embedded Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sajjad%20Rostami-Sani">Sajjad Rostami-Sani</a>, <a href="https://publications.waset.org/abstracts/search?q=Mojtaba%20Valinataj"> Mojtaba Valinataj</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir-Hossein%20Khojir-Angasi"> Amir-Hossein Khojir-Angasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The cache has an important role in the reduction of access delay between a processor and memory in high-performance embedded systems. In these systems, the energy consumption is one of the most important concerns, and it will become more important with smaller processor feature sizes and higher frequencies. Meanwhile, the cache system dissipates a significant portion of energy compared to the other components of a processor. There are some elements that can affect the energy consumption of the cache such as replacement policy and degree of associativity. Due to these points, it can be inferred that selecting an appropriate configuration for the cache is a crucial part of designing a system. In this paper, we investigate the effect of different cache replacement policies on both cache’s performance and energy consumption. Furthermore, the impact of different Instruction Set Architectures (ISAs) on cache’s performance and energy consumption has been investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title="energy consumption">energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=replacement%20policy" title=" replacement policy"> replacement policy</a>, <a href="https://publications.waset.org/abstracts/search?q=instruction%20set%20architecture" title=" instruction set architecture"> instruction set architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=multicore%20processor" title=" multicore processor"> multicore processor</a> </p> <a href="https://publications.waset.org/abstracts/122029/evaluating-the-impact-of-replacement-policies-on-the-cache-performance-and-energy-consumption-in-different-multicore-embedded-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122029.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">154</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12229</span> Assessment of Energy Consumption in Cluster Redevelopment: A Case Study of Bhendi Bazar in Mumbai</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Insiya%20Kapasi">Insiya Kapasi</a>, <a href="https://publications.waset.org/abstracts/search?q=Roshni%20Udyavar%20Yehuda"> Roshni Udyavar Yehuda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cluster Redevelopment is a new concept in the city of Mumbai. Its regulations were laid down by the government in 2009. The concept of cluster redevelopment encompasses a group of buildings defined by a boundary as specified by the municipal authority (in this case, Mumbai), which may be dilapidated or approved for redevelopment. The study analyses the effect of cluster redevelopment in the form of renewal of old group of buildings as compared to refurbishment or restoration - on energy consumption. The methodology includes methods of assessment to determine increase or decrease in energy consumption in cluster redevelopment based on different criteria such as carpet area of the units, building envelope and its architectural elements. Results show that as the area and number of units increase the Energy consumption increases and the EPI (energy performance index) decreases as compared to the base case. The energy consumption per unit area declines by 29% in the proposed cluster redevelopment as compared to the original settlement. It is recommended that although the development is spacious and provides more light and ventilation, aspects such as glass type, traditional architectural features and consumer behavior are critical in the reduction of energy consumption. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cluster%20Redevelopment" title="Cluster Redevelopment">Cluster Redevelopment</a>, <a href="https://publications.waset.org/abstracts/search?q=Energy%20Consumption" title=" Energy Consumption"> Energy Consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=Energy%20Efficiency" title=" Energy Efficiency"> Energy Efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=Typologies" title=" Typologies"> Typologies</a> </p> <a href="https://publications.waset.org/abstracts/126217/assessment-of-energy-consumption-in-cluster-redevelopment-a-case-study-of-bhendi-bazar-in-mumbai" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126217.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">152</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=energy%20consumption%20prediction&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=energy%20consumption%20prediction&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=energy%20consumption%20prediction&page=4">4</a></li> <li class="page-item"><a class="page-link" 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