Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions

<!DOCTYPE html> <html lang="en-US" xml:lang="en-US"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title> Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions | EAI Endorsed Transactions on Energy Web </title> <link rel="icon" href="https://publications.eai.eu/public/journals/2/favicon_en_US.png"> <meta name="generator" content="Open Journal Systems 3.3.0.18"> <link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" /> <meta name="DC.Creator.PersonalName" content="Ziyi Gao"/> <meta name="DC.Creator.PersonalName" content="Linze Huang"/> <meta name="DC.Creator.PersonalName" content="Zhigang Wu"/> <meta name="DC.Creator.PersonalName" content="Zhenyan Wu"/> <meta name="DC.Creator.PersonalName" content="Chunhui Li"/> <meta name="DC.Date.created" scheme="ISO8601" content="2024-11-04"/> <meta name="DC.Date.dateSubmitted" scheme="ISO8601" content="2024-11-04"/> <meta name="DC.Date.issued" scheme="ISO8601" content="2024-11-04"/> <meta name="DC.Date.modified" scheme="ISO8601" content="2024-11-04"/> <meta name="DC.Description" xml:lang="en" content="The global demand for stored and processed data has surged due to the development of IoTs and similar computational structures, which has led to further energy consumption by concentrated data storage facilities and thus the demands of global energy and environmental needs. The current paper introduces Fuzzy Allocation Optimization Algorithm to mitigate energy consumption in high storage density settings. It uses the principles of Fuzzy logic to determine the best way to assign the tasks in relation to storage density necessity, urgency and energy consumption. Thus, the proposed approach incorporates fuzzy inference systems with multi-objective optimization methods where location of storage is dynamically assessed and assigned according to energy efficiency parameters. The findings of the simulation and case study prove that the algorithm is successful in saving energy while at the same time lowering storage I/O response time, which provides a viable solution to energy issues in evolving data centres. This work satisfies the lack of energy efficient algorithms in high density storage areas and responds to the recent calls for green technology and smart utilization of resources in the energy field. The findings are used in the promotion of significant IT infrastructures towards developing the next generation of energy efficient data centers with respect to Future Internet and evolving energy web environments."/> <meta name="DC.Format" scheme="IMT" content="application/pdf"/> <meta name="DC.Identifier" content="7728"/> <meta name="DC.Identifier.DOI" content="10.4108/ew.7728"/> <meta name="DC.Identifier.URI" content="https://publications.eai.eu/index.php/ew/article/view/7728"/> <meta name="DC.Language" scheme="ISO639-1" content="en"/> <meta name="DC.Rights" content="Copyright (c) 2024 EAI Endorsed Transactions on Energy Web"/> <meta name="DC.Rights" content="https://creativecommons.org/licenses/by/3.0/"/> <meta name="DC.Source" content="EAI Endorsed Transactions on Energy Web"/> <meta name="DC.Source.ISSN" content="2032-944X"/> <meta name="DC.Source.Volume" content="12"/> <meta name="DC.Source.URI" content="https://publications.eai.eu/index.php/ew"/> <meta name="DC.Subject" xml:lang="en" content="Green Technology"/> <meta name="DC.Title" content="Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions"/> <meta name="DC.Type" content="Text.Serial.Journal"/> <meta name="DC.Type.articleType" content="Research articles"/> <meta name="gs_meta_revision" content="1.1"/> <meta name="citation_journal_title" content="EAI Endorsed Transactions on Energy Web"/> <meta name="citation_journal_abbrev" content="EAI Endorsed Trans Energy Web"/> <meta name="citation_issn" content="2032-944X"/> <meta name="citation_author" content="Ziyi Gao"/> <meta name="citation_author_institution" content="Guangdong Power Grid Co."/> <meta name="citation_author" content="Linze Huang"/> <meta name="citation_author_institution" content="Guangdong Power Grid Co."/> <meta name="citation_author" content="Zhigang Wu"/> <meta name="citation_author_institution" content="Guangdong Power Grid Co."/> <meta name="citation_author" content="Zhenyan Wu"/> <meta name="citation_author_institution" content="Guangdong Power Grid Co."/> <meta name="citation_author" content="Chunhui Li"/> <meta name="citation_author_institution" content="Guangdong Power Grid Co."/> <meta name="citation_title" content="Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions"/> <meta name="citation_language" content="en"/> <meta name="citation_date" content="2025"/> <meta name="citation_volume" content="12"/> <meta name="citation_doi" content="10.4108/ew.7728"/> <meta name="citation_abstract_html_url" content="https://publications.eai.eu/index.php/ew/article/view/7728"/> <meta name="citation_keywords" xml:lang="en" content="Energy Optimization"/> <meta name="citation_keywords" xml:lang="en" content="Fuzzy Allocation"/> <meta name="citation_keywords" xml:lang="en" content="Data Centers"/> <meta name="citation_keywords" xml:lang="en" content="High-Density Storage"/> <meta name="citation_keywords" xml:lang="en" content="Green Technology"/> <meta name="citation_pdf_url" content="https://publications.eai.eu/index.php/ew/article/download/7728/3443"/> <meta name="citation_reference" content="[1] C. Huang, J. An, Q. Liu, L. Yin, and W. Wang, “Research on Fuzzy Energy Management Strategy of Hybrid Energy Storage System for Novel Power System,” J Phys Conf Ser, vol. 2527, no. 1, p. 012019, Jun. 2023, doi: 10.1088/1742-6596/2527/1/012019."/> <meta name="citation_reference" content="[2] M. Barukcic, T. Varga, T. Bensic, and V. J. Stil, “Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks,” in 2022 IEEE 7th International Energy Conference (ENERGYCON), IEEE, May 2022, pp. 1–6. doi: 10.1109/ENERGYCON53164.2022.9830192."/> <meta name="citation_reference" content="[3] J. K. Samriya, R. Tiwari, M. S. Obaidat, and G. Bathla, “Fuzzy-EPO Optimization Technique for Optimised Resource Allocation and Minimum Energy Consumption with the Brownout Algorithm,” Wirel Pers Commun, vol. 129, no. 4, pp. 2633–2651, Apr. 2023, doi: 10.1007/s11277-023-10250-5."/> <meta name="citation_reference" content="[4] M. Ahmed, M. Khatri, F. Ahmed, and J. Goyal, “An Optimized Fuzzy-based Load Balancing in Cloud Computing,” in 2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON), IEEE, May 2023, pp. 323–328. doi: 10.1109/REEDCON57544.2023.10150583."/> <meta name="citation_reference" content="[5] K.-Y. Tai, F. Y.-S. Lin, and C.-H. Hsiao, “An Integrated Optimization-Based Algorithm for Energy Efficiency and Resource Allocation in Heterogeneous Cloud Computing Centers,” IEEE Access, vol. 11, pp. 53418–53428, 2023, doi: 10.1109/ACCESS.2023.3280930."/> <meta name="citation_reference" content="[6] E. Ivokhin, L. Adzhubey, P. Vavryk, and M. Makhno, “On some methods for solving the problem of power distribution of data transmission channels taking into account fuzzy constraints on consumption volumes,” System research and information technologies, no. 4, pp. 88–99, Dec. 2022, doi: 10.20535/SRIT.2308-8893.2022.4.08."/> <meta name="citation_reference" content="[7] S. Luo, C. Xia, J. Zhang, R. Xia, and Y. Zhu, “Summary of Research on Optimal Allocation of Energy Storage in the Distribution Network,” in 2022 9th International Conference on Electrical and Electronics Engineering (ICEEE), IEEE, Mar. 2022, pp. 222–226. doi: 10.1109/ICEEE55327.2022.9772560."/> <meta name="citation_reference" content="[8] S. Pan, R. Zhao, C. Huang, H. Wang, and Z. Shi, “Research on Energy Consumption Optimization Using a Lyapunov-Based LSTM-PSO Algorithm,” 2024, pp. 15–28. doi: 10.1007/978-981-97-1010-2_2."/> <meta name="citation_reference" content="[9] S. Leng, “Research on Electronic Communication Information Storage Based on Ranking Optimization Algorithm,” in 2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC), IEEE, Jan. 2024, pp. 1–4. doi: 10.1109/ICOCWC60930.2024.10470839."/> <meta name="citation_reference" content="[10] X. Wang, “Fuzzy Decoupling Energy Efficiency Optimization Algorithm in Cloud Computing Environment,” International Journal of Information Technologies and Systems Approach, vol. 14, no. 2, pp. 52–69, Jul. 2021, doi: 10.4018/IJITSA.2021070104."/> <meta name="citation_reference" content="[11] H. Gu, J. Wu, W. Hu, and T. Ma, “Research on low energy task allocation and scheduling algorithm based on imprecise heterogeneous multi-core technology,” in 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Oct. 2022, pp. 2613–2619. doi: 10.1109/SMC53654.2022.9945120."/> <meta name="citation_reference" content="[12] A. Khandelwal, S. Saxena, and A. Kumar, “OPTIMIZATION OF FUZZY ASSIGNMENT PROBLEM USING R,” jnanabha, vol. 52, no. 02, pp. 58–67, 2022, doi: 10.58250/jnanabha.2022.52206."/> <meta name="citation_reference" content="[13] L. Raskin and L. Sukhomlyn, “OPTIMIZATION OF RESOURCE DISTRIBUTION UNDER THE CONDITIONS OF FUZZY INITIAL DATA,” Bulletin of National Technical University “KhPI”. Series: System Analysis, Control and Information Technologies, no. 1 (7), pp. 9–15, Jul. 2022, doi: 10.20998/2079-0023.2022.01.02."/> <meta name="citation_reference" content="[14] M. Sivaram et al., “RETRACTED ARTICLE: Secure storage allocation scheme using fuzzy based heuristic algorithm for cloud,” J Ambient Intell Humaniz Comput, vol. 12, no. 5, pp. 5609–5617, May 2021, doi: 10.1007/s12652-020-02082-z."/> <meta name="citation_reference" content="[15] E. Gur and Z. Zalevsky, “CPU and Memory Allocation Optimization using Fuzzy Logic Based Clustering,” in 2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Aug. 2023, pp. 1821–1826. doi: 10.1109/ICIEA58696.2023.10241904."/> <meta name="citation_reference" content="[16] E. Arianyan, H. Taheri, and V. Khoshdel, “Novel fuzzy multi objective DVFS-aware consolidation heuristics for energy and SLA efficient resource management in cloud data centers,” Journal of Network and Computer Applications, vol. 78, pp. 43–61, Jan. 2017, doi: 10.1016/j.jnca.2016.09.016."/> <meta name="citation_reference" content="[17] M. Suguna, R. Logesh, and C. U. Om Kumar, “Fuzzy‐Based Efficient Resource Allocation and Scheduling in a Computational Distributed Environment,” in Cognitive Analytics and Reinforcement Learning, Wiley, 2024, pp. 189–202. doi: 10.1002/9781394214068.ch10."/> <meta name="citation_reference" content="[18] R. Bala and J. Mann, “A Research Paper on Green Computing Using Energy Efficient Task Allocation Strategy in Cloud Environment,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 7, no. 6, pp. 186–191, Jun. 2017, doi: 10.23956/ijarcsse/V7I6/0248."/> <meta name="citation_reference" content="[19] M. Seddiki, R. P. de Prado, J. E. Munoz-Expósito, and S. García-Galán, “Fuzzy Rule-Based Systems for Optimizing Power Consumption in Data Centers,” 2014, pp. 301–308. doi: 10.1007/978-3-319-01622-1_34."/> <meta name="citation_reference" content="[20] D. Adami, A. Gabbrielli, S. Giordano, M. Pagano, and G. Portaluri, “A Fuzzy Logic Approach for Resources Allocation in Cloud Data Center,” in 2015 IEEE Globecom Workshops (GC Wkshps), IEEE, Dec. 2015, pp. 1–6. doi: 10.1109/GLOCOMW.2015.7414107."/> <meta name="citation_reference" content="[21] J. Sun, Z. Yang, Z. Guo, and Q. Yang, “Long Term Operational Optimization of Data Center Network Under Uncertainty,” in 2018 IEEE 14th International Conference on Control and Automation (ICCA), IEEE, Jun. 2018, pp. 522–527. doi: 10.1109/ICCA.2018.8444191."/> <meta name="citation_reference" content="[22] J. Dong-han and L. Hai-tao, “Research on a resource allocation algorithm based on energy conservation,” in 2017 3rd IEEE International Conference on Computer and Communications (ICCC), IEEE, Dec. 2017, pp. 569–572. doi: 10.1109/CompComm.2017.8322609."/> <meta name="citation_reference" content="[23] S. R. Jayasimha, J. Usha, and S. G. Srivani, “Efficient Power Management using Fuzzy Logic for Cloud Computing Environment,” in 2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS), IEEE, Dec. 2018, pp. 35–40. doi: 10.1109/CSITSS.2018.8768764."/> <meta name="citation_reference" content="[24] Zs. Danyadi, P. Foldesi, and L. T. Koczy, “Solution of a fuzzy resource allocation problem by various evolutionary approaches,” in 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), IEEE, Jun. 2013, pp. 807–812. doi: 10.1109/IFSA-NAFIPS.2013.6608504."/> <meta name="citation_reference" content="[25] S. Chen, Y. Wang, and M. Pedram, “Resource allocation optimization in a data center with energy storage devices,” in IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, IEEE, Oct. 2014, pp. 2604–2610. doi: 10.1109/IECON.2014.7048873."/> <meta name="og:site_name" content="EAI Endorsed Transactions on Energy Web"/> <meta name="og:type" content="article"/> <meta name="og:title" content="Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions"/> <meta name="og:description" content="The global demand for stored and processed data has surged due to the development of IoTs and similar computational structures, which has led to further energy consumption by concentrated data storage facilities and thus the demands of global energy and environmental needs. The current paper introduces Fuzzy Allocation Optimization Algorithm to mitigate energy consumption in high storage density settings. It uses the principles of Fuzzy logic to determine the best way to assign the tasks in relation to storage density necessity, urgency and energy consumption. Thus, the proposed approach incorporates fuzzy inference systems with multi-objective optimization methods where location of storage is dynamically assessed and assigned according to energy efficiency parameters. The findings of the simulation and case study prove that the algorithm is successful in saving energy while at the same time lowering storage I/O response time, which provides a viable solution to energy issues in evolving data centres. This work satisfies the lack of energy efficient algorithms in high density storage areas and responds to the recent calls for green technology and smart utilization of resources in the energy field. The findings are used in the promotion of significant IT infrastructures towards developing the next generation of energy efficient data centers with respect to Future Internet and evolving energy web environments. "/> <meta name="og:url" content="https://publications.eai.eu/index.php/ew/article/view/7728"/> <meta name="og:locale" content="en_US"/> <meta name="og:image" content=""/> <meta name="article:published_time" content="2024-11-04"/> <meta name="article:tag" content="Energy Optimization"/> <meta name="article:tag" content="Fuzzy Allocation"/> <meta name="article:tag" content="Data Centers"/> <meta name="article:tag" content="High-Density Storage"/> <meta name="article:tag" content="Green Technology"/> <link rel="alternate" type="application/atom+xml" href="https://publications.eai.eu/index.php/ew/gateway/plugin/AnnouncementFeedGatewayPlugin/atom"> <link rel="alternate" type="application/rdf+xml" href="https://publications.eai.eu/index.php/ew/gateway/plugin/AnnouncementFeedGatewayPlugin/rss"> <link rel="alternate" type="application/rss+xml" href="https://publications.eai.eu/index.php/ew/gateway/plugin/AnnouncementFeedGatewayPlugin/rss2"> <link rel="stylesheet" href="https://publications.eai.eu/index.php/ew/$$$call$$$/page/page/css?name=stylesheet" type="text/css" /><link rel="stylesheet" href="https://publications.eai.eu/index.php/ew/$$$call$$$/page/page/css?name=font" type="text/css" /><link rel="stylesheet" href="https://publications.eai.eu/lib/pkp/styles/fontawesome/fontawesome.css?v=3.3.0.18" type="text/css" /><style type="text/css">.pkp_structure_head { background: center / cover no-repeat url("https://publications.eai.eu/public/journals/2/homepageImage_en_US.png");}</style><link rel="stylesheet" href="https://publications.eai.eu/plugins/generic/citations/css/citations.css?v=3.3.0.18" type="text/css" /> </head> <body class="pkp_page_article pkp_op_view" dir="ltr"> <div class="pkp_structure_page"> <header class="pkp_structure_head" id="headerNavigationContainer" role="banner"> <nav class="cmp_skip_to_content" aria-label="Jump to content links"> <a href="#pkp_content_main">Skip to main content</a> <a href="#siteNav">Skip to main navigation menu</a> <a href="#pkp_content_footer">Skip to site footer</a> </nav> <div class="pkp_head_wrapper"> <div class="pkp_site_name_wrapper"> <button class="pkp_site_nav_toggle"> <span>Open Menu</span> </button> <div class="pkp_site_name"> <a href=" https://publications.eai.eu/index.php/ew/index " class="is_text">EAI Endorsed Transactions on Energy Web</a> </div> </div> <nav class="pkp_site_nav_menu" aria-label="Site Navigation"> <a id="siteNav"></a> <div class="pkp_navigation_primary_row"> <div class="pkp_navigation_primary_wrapper"> <ul id="navigationPrimary" class="pkp_navigation_primary pkp_nav_list"> <li class=""> <a href="https://publications.eai.eu/index.php/ew/index"> Home </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/about"> About </a> <ul> <li class=""> <a href="https://publications.eai.eu/index.php/ew/about"> About the Journal </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/about/submissions"> Submissions </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/about/editorialTeam"> Editorial Team </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/indexing"> Indexing </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/open-access"> Open Access Information </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/benefits"> Benefits of EAI Transactions </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/about/privacy"> Privacy Statement </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/about/contact"> Contact </a> </li> </ul> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/issue/current"> Current </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/issue/archive"> Archives </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/special-issues"> Special Issues </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/ethics"> Publication Ethics </a> </li> <li class=""> <a href="https://publications.eai.eu/index.php/ew/announcement"> Announcements </a> </li> </ul> <div class="pkp_navigation_search_wrapper"> <a href="https://publications.eai.eu/index.php/ew/search" class="pkp_search pkp_search_desktop"> <span class="fa fa-search" aria-hidden="true"></span> Search </a> </div> </div> </div> <div class="pkp_navigation_user_wrapper" id="navigationUserWrapper"> <ul id="navigationUser" class="pkp_navigation_user pkp_nav_list"> <li class="profile"> <a href="https://publications.eai.eu/index.php/ew/user/register"> Register </a> </li> <li class="profile"> <a href="https://publications.eai.eu/index.php/ew/login"> Login </a> </li> </ul> </div> </nav> </div> </header> <div class="pkp_structure_content has_sidebar"> <div class="pkp_structure_main" role="main"> <a id="pkp_content_main"></a> <div class="page page_article"> <nav class="cmp_breadcrumbs" role="navigation" aria-label="You are here:"> <ol> <li> <a href="https://publications.eai.eu/index.php/ew/index"> Home </a> <span class="separator">/</span> </li> <li> <a href="https://publications.eai.eu/index.php/ew/issue/archive"> Archives </a> <span class="separator">/</span> </li> <li> <a href="https://publications.eai.eu/index.php/ew/issue/view/438"> Vol. 12 (2025): EAI Endorsed Transactions on Energy Web </a> <span class="separator">/</span> </li> <li class="current" aria-current="page"> <span aria-current="page"> Research articles </span> </li> </ol> </nav> <article class="obj_article_details"> <h1 class="page_title"> Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions </h1> <div class="row"> <div class="main_entry"> <section class="item authors"> <h2 class="pkp_screen_reader">Authors</h2> <ul class="authors"> <li> <span class="name"> Ziyi Gao </span> <span class="affiliation"> Guangdong Power Grid Co. </span> </li> <li> <span class="name"> Linze Huang </span> <span class="affiliation"> Guangdong Power Grid Co. </span> </li> <li> <span class="name"> Zhigang Wu </span> <span class="affiliation"> Guangdong Power Grid Co. </span> </li> <li> <span class="name"> Zhenyan Wu </span> <span class="affiliation"> Guangdong Power Grid Co. </span> </li> <li> <span class="name"> Chunhui Li </span> <span class="affiliation"> Guangdong Power Grid Co. </span> </li> </ul> </section> <section class="item doi"> <h2 class="label"> DOI: </h2> <span class="value"> <a href="https://doi.org/10.4108/ew.7728"> https://doi.org/10.4108/ew.7728 </a> </span> </section> <section class="item keywords"> <h2 class="label"> Keywords: </h2> <span class="value"> Energy Optimization, Fuzzy Allocation, Data Centers, High-Density Storage, Green Technology </span> </section> <section class="item abstract"> <h2 class="label">Abstract</h2> <p>The global demand for stored and processed data has surged due to the development of IoTs and similar computational structures, which has led to further energy consumption by concentrated data storage facilities and thus the demands of global energy and environmental needs. The current paper introduces Fuzzy Allocation Optimization Algorithm to mitigate energy consumption in high storage density settings. It uses the principles of Fuzzy logic to determine the best way to assign the tasks in relation to storage density necessity, urgency and energy consumption. Thus, the proposed approach incorporates fuzzy inference systems with multi-objective optimization methods where location of storage is dynamically assessed and assigned according to energy efficiency parameters. The findings of the simulation and case study prove that the algorithm is successful in saving energy while at the same time lowering storage I/O response time, which provides a viable solution to energy issues in evolving data centres. This work satisfies the lack of energy efficient algorithms in high density storage areas and responds to the recent calls for green technology and smart utilization of resources in the energy field. The findings are used in the promotion of significant IT infrastructures towards developing the next generation of energy efficient data centers with respect to Future Internet and evolving energy web environments.</p> </section> <div class="item downloads_chart"> <h3 class="label"> Downloads </h3> <div class="value"> <canvas class="usageStatsGraph" data-object-type="Submission" data-object-id="7728"></canvas> <div class="usageStatsUnavailable" data-object-type="Submission" data-object-id="7728"> Download data is not yet available. </div> </div> </div>  <a href="https://plu.mx/plum/a/?doi=10.4108/ew.7728" class="plumx-summary" data-hide-when-empty="true" data-orientation="vertical" ></a>  <section class="item references"> <h2 class="label"> References </h2> <div class="value"> <p>[1] C. Huang, J. An, Q. Liu, L. Yin, and W. Wang, “Research on Fuzzy Energy Management Strategy of Hybrid Energy Storage System for Novel Power System,” J Phys Conf Ser, vol. 2527, no. 1, p. 012019, Jun. 2023, doi: 10.1088/1742-6596/2527/1/012019. </p> <p>[2] M. Barukcic, T. Varga, T. Bensic, and V. J. Stil, “Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks,” in 2022 IEEE 7th International Energy Conference (ENERGYCON), IEEE, May 2022, pp. 1–6. doi: 10.1109/ENERGYCON53164.2022.9830192. </p> <p>[3] J. K. Samriya, R. Tiwari, M. S. Obaidat, and G. Bathla, “Fuzzy-EPO Optimization Technique for Optimised Resource Allocation and Minimum Energy Consumption with the Brownout Algorithm,” Wirel Pers Commun, vol. 129, no. 4, pp. 2633–2651, Apr. 2023, doi: 10.1007/s11277-023-10250-5. </p> <p>[4] M. Ahmed, M. Khatri, F. Ahmed, and J. Goyal, “An Optimized Fuzzy-based Load Balancing in Cloud Computing,” in 2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON), IEEE, May 2023, pp. 323–328. doi: 10.1109/REEDCON57544.2023.10150583. </p> <p>[5] K.-Y. Tai, F. Y.-S. Lin, and C.-H. Hsiao, “An Integrated Optimization-Based Algorithm for Energy Efficiency and Resource Allocation in Heterogeneous Cloud Computing Centers,” IEEE Access, vol. 11, pp. 53418–53428, 2023, doi: 10.1109/ACCESS.2023.3280930. </p> <p>[6] E. Ivokhin, L. Adzhubey, P. Vavryk, and M. Makhno, “On some methods for solving the problem of power distribution of data transmission channels taking into account fuzzy constraints on consumption volumes,” System research and information technologies, no. 4, pp. 88–99, Dec. 2022, doi: 10.20535/SRIT.2308-8893.2022.4.08. </p> <p>[7] S. Luo, C. Xia, J. Zhang, R. Xia, and Y. Zhu, “Summary of Research on Optimal Allocation of Energy Storage in the Distribution Network,” in 2022 9th International Conference on Electrical and Electronics Engineering (ICEEE), IEEE, Mar. 2022, pp. 222–226. doi: 10.1109/ICEEE55327.2022.9772560. </p> <p>[8] S. Pan, R. Zhao, C. Huang, H. Wang, and Z. Shi, “Research on Energy Consumption Optimization Using a Lyapunov-Based LSTM-PSO Algorithm,” 2024, pp. 15–28. doi: 10.1007/978-981-97-1010-2_2. </p> <p>[9] S. Leng, “Research on Electronic Communication Information Storage Based on Ranking Optimization Algorithm,” in 2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC), IEEE, Jan. 2024, pp. 1–4. doi: 10.1109/ICOCWC60930.2024.10470839. </p> <p>[10] X. Wang, “Fuzzy Decoupling Energy Efficiency Optimization Algorithm in Cloud Computing Environment,” International Journal of Information Technologies and Systems Approach, vol. 14, no. 2, pp. 52–69, Jul. 2021, doi: 10.4018/IJITSA.2021070104. </p> <p>[11] H. Gu, J. Wu, W. Hu, and T. Ma, “Research on low energy task allocation and scheduling algorithm based on imprecise heterogeneous multi-core technology,” in 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Oct. 2022, pp. 2613–2619. doi: 10.1109/SMC53654.2022.9945120. </p> <p>[12] A. Khandelwal, S. Saxena, and A. Kumar, “OPTIMIZATION OF FUZZY ASSIGNMENT PROBLEM USING R,” jnanabha, vol. 52, no. 02, pp. 58–67, 2022, doi: 10.58250/jnanabha.2022.52206. </p> <p>[13] L. Raskin and L. Sukhomlyn, “OPTIMIZATION OF RESOURCE DISTRIBUTION UNDER THE CONDITIONS OF FUZZY INITIAL DATA,” Bulletin of National Technical University “KhPI”. Series: System Analysis, Control and Information Technologies, no. 1 (7), pp. 9–15, Jul. 2022, doi: 10.20998/2079-0023.2022.01.02. </p> <p>[14] M. Sivaram et al., “RETRACTED ARTICLE: Secure storage allocation scheme using fuzzy based heuristic algorithm for cloud,” J Ambient Intell Humaniz Comput, vol. 12, no. 5, pp. 5609–5617, May 2021, doi: 10.1007/s12652-020-02082-z. </p> <p>[15] E. Gur and Z. Zalevsky, “CPU and Memory Allocation Optimization using Fuzzy Logic Based Clustering,” in 2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Aug. 2023, pp. 1821–1826. doi: 10.1109/ICIEA58696.2023.10241904. </p> <p>[16] E. Arianyan, H. Taheri, and V. Khoshdel, “Novel fuzzy multi objective DVFS-aware consolidation heuristics for energy and SLA efficient resource management in cloud data centers,” Journal of Network and Computer Applications, vol. 78, pp. 43–61, Jan. 2017, doi: 10.1016/j.jnca.2016.09.016. </p> <p>[17] M. Suguna, R. Logesh, and C. U. Om Kumar, “Fuzzy‐Based Efficient Resource Allocation and Scheduling in a Computational Distributed Environment,” in Cognitive Analytics and Reinforcement Learning, Wiley, 2024, pp. 189–202. doi: 10.1002/9781394214068.ch10. </p> <p>[18] R. Bala and J. Mann, “A Research Paper on Green Computing Using Energy Efficient Task Allocation Strategy in Cloud Environment,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 7, no. 6, pp. 186–191, Jun. 2017, doi: 10.23956/ijarcsse/V7I6/0248. </p> <p>[19] M. Seddiki, R. P. de Prado, J. E. Munoz-Expósito, and S. García-Galán, “Fuzzy Rule-Based Systems for Optimizing Power Consumption in Data Centers,” 2014, pp. 301–308. doi: 10.1007/978-3-319-01622-1_34. </p> <p>[20] D. Adami, A. Gabbrielli, S. Giordano, M. Pagano, and G. Portaluri, “A Fuzzy Logic Approach for Resources Allocation in Cloud Data Center,” in 2015 IEEE Globecom Workshops (GC Wkshps), IEEE, Dec. 2015, pp. 1–6. doi: 10.1109/GLOCOMW.2015.7414107. </p> <p>[21] J. Sun, Z. Yang, Z. Guo, and Q. Yang, “Long Term Operational Optimization of Data Center Network Under Uncertainty,” in 2018 IEEE 14th International Conference on Control and Automation (ICCA), IEEE, Jun. 2018, pp. 522–527. doi: 10.1109/ICCA.2018.8444191. </p> <p>[22] J. Dong-han and L. Hai-tao, “Research on a resource allocation algorithm based on energy conservation,” in 2017 3rd IEEE International Conference on Computer and Communications (ICCC), IEEE, Dec. 2017, pp. 569–572. doi: 10.1109/CompComm.2017.8322609. </p> <p>[23] S. R. Jayasimha, J. Usha, and S. G. Srivani, “Efficient Power Management using Fuzzy Logic for Cloud Computing Environment,” in 2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS), IEEE, Dec. 2018, pp. 35–40. doi: 10.1109/CSITSS.2018.8768764. </p> <p>[24] Zs. Danyadi, P. Foldesi, and L. T. Koczy, “Solution of a fuzzy resource allocation problem by various evolutionary approaches,” in 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), IEEE, Jun. 2013, pp. 807–812. doi: 10.1109/IFSA-NAFIPS.2013.6608504. </p> <p>[25] S. Chen, Y. Wang, and M. Pedram, “Resource allocation optimization in a data center with energy storage devices,” in IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, IEEE, Oct. 2014, pp. 2604–2610. doi: 10.1109/IECON.2014.7048873. </p> </div> </section> </div> <div class="entry_details"> <div class="item galleys"> <h2 class="pkp_screen_reader"> Downloads </h2> <ul class="value galleys_links"> <li> <a class="obj_galley_link pdf" href="https://publications.eai.eu/index.php/ew/article/view/7728/3443"> PDF </a> </li> </ul> </div> <div class="item published"> <section class="sub_item"> <h2 class="label"> Published </h2> <div class="value"> <span>04-11-2024</span> </div> </section> </div> <div class="item citation"> <section class="sub_item citation_display"> <h2 class="label"> How to Cite </h2> <div class="value"> <div id="citationOutput" role="region" aria-live="polite"> <div class="csl-bib-body"> <div class="csl-entry"><div class="csl-left-margin">1.</div><div class="csl-right-inline">Gao Z, Huang L, Wu Z, Wu Z, Li C. Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions. EAI Endorsed Trans Energy Web [Internet]. 2024 Nov. 4 [cited 2025 Feb. 17];12. Available from: https://publications.eai.eu/index.php/ew/article/view/7728</div></div> </div> </div> <div class="citation_formats"> <button class="cmp_button citation_formats_button" aria-controls="cslCitationFormats" aria-expanded="false" data-csl-dropdown="true"> More Citation Formats </button> <div id="cslCitationFormats" class="citation_formats_list" aria-hidden="true"> <ul class="citation_formats_styles"> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/acm-sig-proceedings?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/acm-sig-proceedings?submissionId=7728&publicationId=7734&return=json" > ACM </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/acs-nano?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/acs-nano?submissionId=7728&publicationId=7734&return=json" > ACS </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/apa?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/apa?submissionId=7728&publicationId=7734&return=json" > APA </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/associacao-brasileira-de-normas-tecnicas?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/associacao-brasileira-de-normas-tecnicas?submissionId=7728&publicationId=7734&return=json" > ABNT </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/chicago-author-date?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/chicago-author-date?submissionId=7728&publicationId=7734&return=json" > Chicago </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/harvard-cite-them-right?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/harvard-cite-them-right?submissionId=7728&publicationId=7734&return=json" > Harvard </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/ieee?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/ieee?submissionId=7728&publicationId=7734&return=json" > IEEE </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/modern-language-association?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/modern-language-association?submissionId=7728&publicationId=7734&return=json" > MLA </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/turabian-fullnote-bibliography?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/turabian-fullnote-bibliography?submissionId=7728&publicationId=7734&return=json" > Turabian </a> </li> <li> <a aria-controls="citationOutput" href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/vancouver?submissionId=7728&publicationId=7734" data-load-citation data-json-href="https://publications.eai.eu/index.php/ew/citationstylelanguage/get/vancouver?submissionId=7728&publicationId=7734&return=json" > Vancouver </a> </li> </ul> <div class="label"> Download Citation </div> <ul class="citation_formats_styles"> <li> <a href="https://publications.eai.eu/index.php/ew/citationstylelanguage/download/ris?submissionId=7728&publicationId=7734"> <span class="fa fa-download"></span> Endnote/Zotero/Mendeley (RIS) </a> </li> <li> <a href="https://publications.eai.eu/index.php/ew/citationstylelanguage/download/bibtex?submissionId=7728&publicationId=7734"> <span class="fa fa-download"></span> BibTeX </a> </li> </ul> </div> </div> </div> </section> </div> <div class="item issue"> <section class="sub_item"> <h2 class="label"> Issue </h2> <div class="value"> <a class="title" href="https://publications.eai.eu/index.php/ew/issue/view/438"> Vol. 12 (2025): EAI Endorsed Transactions on Energy Web </a> </div> </section> <section class="sub_item"> <h2 class="label"> Section </h2> <div class="value"> Research articles </div> </section> </div> <div class="item copyright"> <h2 class="label"> License </h2> <p>Copyright (c) 2024 EAI Endorsed Transactions on Energy Web</p> <a rel="license" href="https://creativecommons.org/licenses/by/3.0/"><img alt="Creative Commons License" src="//i.creativecommons.org/l/by/3.0/88x31.png" /></a><p>This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution 3.0 Unported License</a>.</p> <p>This is an open-access article distributed under the terms of the Creative Commons Attribution <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank" rel="noopener">CC BY 4.0</a> license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.</p> </div> <div class="item citations-container" data-image-path="https://publications.eai.eu/plugins/generic/citations/images/" data-citations-url="https://publications.eai.eu/index.php/ew/citations/get?citationsId=10.4108%2Few.7728&citationsShowList=1&citationsProvider=all" data-citations-provider="all" data-citations-total="1" data-citations-list="1" data-show-google="1" data-show-pmc="1"> <div id="citations-loader"></div> <div class="citations-count"> <div class="citations-count-crossref"> <img class="img-fluid" src="https://publications.eai.eu/plugins/generic/citations/images/crossref.png" alt="Crossref"/> <div class="badge_total"></div> </div> <div class="citations-count-scopus"> <img src="https://publications.eai.eu/plugins/generic/citations/images/scopus.png" alt="Scopus"/> <br/> <span class="badge_total"></span> </div> <div class="citations-count-google"> <a href="https://scholar.google.com/scholar?q=10.4108/ew.7728" target="_blank" rel="noreferrer"> <img src="https://publications.eai.eu/plugins/generic/citations/images/scholar.png" alt="Google Scholar"/> </a> </div> <div class="citations-count-pmc"> <a href="http://europepmc.org/search?scope=fulltext&query=(REF:10.4108/ew.7728)" target="_blank" rel="noreferrer"> <img src="https://publications.eai.eu/plugins/generic/citations/images/pmc.png" alt="Europe PMC"/> <br/> <span class="badge_total"></span> </a> </div> </div> <div class="citations-list"></div> </div> <div class="item addthis"> <div class="value">  <div class="addthis_toolbox addthis_default_style "> <a class="addthis_button_preferred_1"></a> <a class="addthis_button_preferred_2"></a> <a class="addthis_button_preferred_3"></a> <a class="addthis_button_preferred_4"></a> <a class="addthis_button_compact"></a> <a class="addthis_counter addthis_bubble_style"></a> </div> <script type="text/javascript" src="//s7.addthis.com/js/250/addthis_widget.js#pubid="></script>  </div> </div> </div> </div> </article> <div id="articlesBySameAuthorList"> </div> <div id="articlesBySimilarityList"> </div>  <script type="text/javascript" src="//cdn.plu.mx/widget-all.js"></script>  </div> </div> <div class="pkp_structure_sidebar left" role="complementary" aria-label="Sidebar"> <div class="pkp_block block_make_submission"> <h2 class="pkp_screen_reader"> Make a Submission </h2> <div class="content"> <a class="block_make_submission_link" href="https://publications.eai.eu/index.php/ew/about/submissions"> Make a Submission </a> </div> </div> <div class="pkp_block block_custom" id="customblock-scopus-citescore"> <h2 class="title pkp_screen_reader">Scopus CiteScore</h2> <div class="content"> <p> </p> <div style="height: 100px; width: 180px; font-family: Arial, Verdana, helvetica, sans-serif; background-color: #ffffff; display: inline-block;"> <div style="padding: 0px 16px;"> <div style="padding-top: 3px; line-height: 1;"> <div style="float: left; font-size: 28px;"><span id="citescoreVal" style="letter-spacing: -2px; display: inline-block; padding-top: 7px; line-height: .75;">2.2</span></div> <div style="float: right; font-size: 14px; padding-top: 3px; text-align: right;"><span id="citescoreYearVal" style="display: block;">2022</span>CiteScore</div> </div> <div style="clear: both;"> </div> <div style="padding-top: 3px;"> <div style="height: 4px; background-color: #dcdcdc;"> <div id="percentActBar" style="height: 4px; background-color: #007398;"> </div> </div> <div style="font-size: 11px;"><span id="citescorePerVal">41st percentile</span></div> </div> <div style="font-size: 12px; text-align: right;">Powered by  <img style="width: 50px; height: 15px;" src="https://www.scopus.com/static/images/scopusLogoOrange.svg" alt="Scopus"></div> </div> </div> <p> </p> </div> </div> <div class="pkp_block block_web_feed"> <h2 class="title">Current Issue</h2> <div class="content"> <ul> <li> <a href="https://publications.eai.eu/index.php/ew/gateway/plugin/WebFeedGatewayPlugin/atom"> <img src="https://publications.eai.eu/lib/pkp/templates/images/atom.svg" alt="Atom logo"> </a> </li> <li> <a href="https://publications.eai.eu/index.php/ew/gateway/plugin/WebFeedGatewayPlugin/rss2"> <img src="https://publications.eai.eu/lib/pkp/templates/images/rss20_logo.svg" alt="RSS2 logo"> </a> </li> <li> <a href="https://publications.eai.eu/index.php/ew/gateway/plugin/WebFeedGatewayPlugin/rss"> <img src="https://publications.eai.eu/lib/pkp/templates/images/rss10_logo.svg" alt="RSS1 logo"> </a> </li> </ul> </div> </div> <div class="pkp_block block_Keywordcloud"> <h2 class="title">Keywords</h2> <div class="content" id='wordcloud'></div> <script> function randomColor() { var cores = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']; return cores[Math.floor(Math.random()*cores.length)]; } document.addEventListener("DOMContentLoaded", function() { var keywords = [{"text":"energy optimization","size":1},{"text":"time per fault","size":1},{"text":"on-board control system","size":1},{"text":"gas sensors","size":1},{"text":"adsorption sites","size":1},{"text":"cysteine (cys)","size":1},{"text":"surfactants","size":1},{"text":"zinc oxide zno","size":1},{"text":"sensorless control","size":1},{"text":"electric drive control system","size":1},{"text":"finite elements modeling","size":1},{"text":"high-torque high-efficient permanent magnet synchronous machine","size":1},{"text":"estimation","size":1},{"text":"electromagnetic parameters","size":1},{"text":"dc motor","size":1},{"text":"restoring time","size":1},{"text":"rope shovel","size":1},{"text":"passenger train","size":1},{"text":"stand-alone","size":1},{"text":"hierarchical structures","size":1},{"text":"fractals","size":1},{"text":"sol-gel method","size":1},{"text":"percolation","size":1},{"text":"gas sensor","size":1},{"text":"\u00abobjective\u00bb function","size":1},{"text":"renewable energy sources","size":1},{"text":"gas engine power plant","size":1},{"text":"distributed generation","size":1},{"text":"storage units","size":1},{"text":"lcos","size":1},{"text":"electrical energy storage systems","size":1},{"text":"learning management system","size":1},{"text":"suburban electric trains","size":1},{"text":"logical-linguistic simulation","size":1},{"text":"andragogy","size":1},{"text":"energy recovery","size":1},{"text":"fpga synthesis","size":1},{"text":"cryptographic encryption and decryption","size":1},{"text":"smart grid security","size":1},{"text":"solar cells","size":1},{"text":"tilt angle","size":1},{"text":"solar radiation","size":1},{"text":"breeam","size":1},{"text":"leed","size":1},{"text":"rating systems","size":1},{"text":"slovakia","size":1},{"text":"msw","size":1},{"text":"pso-anfis","size":1},{"text":"environmental pollution","size":1},{"text":"enthalpy","size":1}]; var totalWeight = 0; var width = 300; var height = 200; var transitionDuration = 200; var length_keywords = keywords.length; var layout = d3.layout.cloud(); layout.size([width, height]) .words(keywords) .fontSize(function(d) { return fontSize(+d.size); }) .on('end', draw); var svg = d3.select("#wordcloud").append("svg") .attr("viewBox", "0 0 " + width + " " + height) .attr("width", '100%'); function update() { var words = layout.words(); fontSize = d3.scaleLinear().range([16, 34]); if (words.length) { fontSize.domain([+words[words.length - 1].size || 1, +words[0].size]); } } keywords.forEach(function(item,index){totalWeight += item.size;}); update(); function draw(words, bounds) { var w = layout.size()[0], h = layout.size()[1]; scaling = bounds ? Math.min( w / Math.abs(bounds[1].x - w / 2), w / Math.abs(bounds[0].x - w / 2), h / Math.abs(bounds[1].y - h / 2), h / Math.abs(bounds[0].y - h / 2), ) / 2 : 1; svg .append("g") .attr( "transform", "translate(" + [w >> 1, h >> 1] + ")scale(" + scaling + ")", ) .selectAll("text") .data(words) .enter().append("text") .style("font-size", function(d) { return d.size + "px"; }) .style("font-family", 'serif') .style("fill", randomColor) .style('cursor', 'pointer') .style('opacity', 0.7) .attr('class', 'keyword') .attr("text-anchor", "middle") .attr("transform", function(d) { return "translate(" + [d.x, d.y] + ")rotate(" + d.rotate + ")"; }) .text(function(d) { return d.text; }) .on("click", function(d, i){ window.location = "https://publications.eai.eu/index.php/ew/search?query=QUERY_SLUG".replace(/QUERY_SLUG/, encodeURIComponent(''+d.text+'')); }) .on("mouseover", function(d, i) { d3.select(this).transition() .duration(transitionDuration) .style('font-size',function(d) { return (d.size + 3) + "px"; }) .style('opacity', 1); }) .on("mouseout", function(d, i) { d3.select(this).transition() .duration(transitionDuration) .style('font-size',function(d) { return d.size + "px"; }) .style('opacity', 0.7); }) .on('resize', function() { update() }); } layout.start(); }); </script> </div> <div class="pkp_block block_twitter"> <span class="title">Tweets by @EAIPublishing</span> <div class="content" style="max-height: 500px; overflow-y: auto;"> <a class="twitter-timeline" data-height="500" data-link-color="#8283c6" href="https://twitter.com/EAIPublishing" data-dnt="true" data-chrome="" data-tweet-limit="3"></a> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> </div> </div> </div> </div> <div class="pkp_structure_footer_wrapper" role="contentinfo"> <a id="pkp_content_footer"></a> <div class="pkp_structure_footer"> <div class="pkp_footer_content"> <p><a href="https://eai.eu/" target="_blank" rel="noopener"><strong>European Alliance for Innovation (EAI)</strong></a> is a non-profit organization and a professional community empowering global research and innovation, promoting cooperation between European and International ICT communities around the globe.</p> </div> <div class="pkp_brand_footer" role="complementary"> <a href="https://publications.eai.eu/index.php/ew/about/aboutThisPublishingSystem"> <img alt="More information about the publishing system, Platform and Workflow by OJS/PKP." src="https://publications.eai.eu/templates/images/ojs_brand.png"> </a> </div> </div> </div> </div> <script src="https://publications.eai.eu/lib/pkp/lib/vendor/components/jquery/jquery.min.js?v=3.3.0.18" type="text/javascript"></script><script src="https://publications.eai.eu/lib/pkp/lib/vendor/components/jqueryui/jquery-ui.min.js?v=3.3.0.18" type="text/javascript"></script><script src="https://publications.eai.eu/plugins/themes/default/js/lib/popper/popper.js?v=3.3.0.18" type="text/javascript"></script><script src="https://publications.eai.eu/plugins/themes/default/js/lib/bootstrap/util.js?v=3.3.0.18" type="text/javascript"></script><script src="https://publications.eai.eu/plugins/themes/default/js/lib/bootstrap/dropdown.js?v=3.3.0.18" type="text/javascript"></script><script src="https://publications.eai.eu/plugins/themes/default/js/main.js?v=3.3.0.18" type="text/javascript"></script><script src="https://publications.eai.eu/plugins/generic/citationStyleLanguage/js/articleCitation.js?v=3.3.0.18" type="text/javascript"></script><script src="https://publications.eai.eu/plugins/generic/citations/js/citations.js?v=3.3.0.18" type="text/javascript"></script><script src="https://d3js.org/d3.v4.js?v=3.3.0.18" type="text/javascript"></script><script src="https://cdn.jsdelivr.net/gh/holtzy/D3-graph-gallery@master/LIB/d3.layout.cloud.js?v=3.3.0.18" type="text/javascript"></script><script type="text/javascript">var pkpUsageStats = pkpUsageStats || {};pkpUsageStats.data = pkpUsageStats.data || {};pkpUsageStats.data.Submission = pkpUsageStats.data.Submission || {};pkpUsageStats.data.Submission[7728] = {"data":{"2024":{"1":0,"2":0,"3":0,"4":0,"5":0,"6":0,"7":0,"8":0,"9":0,"10":0,"11":37,"12":19},"2025":{"1":23,"2":8,"3":0,"4":0,"5":0,"6":0,"7":0,"8":0,"9":0,"10":0,"11":0,"12":0}},"label":"All Downloads","color":"79,181,217","total":87};</script><script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.0.1/Chart.js?v=3.3.0.18" type="text/javascript"></script><script type="text/javascript">var pkpUsageStats = pkpUsageStats || {};pkpUsageStats.locale = pkpUsageStats.locale || {};pkpUsageStats.locale.months = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"];pkpUsageStats.config = pkpUsageStats.config || {};pkpUsageStats.config.chartType = "bar";</script><script src="https://publications.eai.eu/plugins/generic/usageStats/js/UsageStatsFrontendHandler.js?v=3.3.0.18" type="text/javascript"></script> </body> </html>

CINXE.COM

Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions | EAI Endorsed Transactions on Energy Web