{"id":1696,"date":"2020-11-07T12:08:02","date_gmt":"2020-11-07T11:08:02","guid":{"rendered":"https:\/\/www.netscientificjournals.com\/smart-platform\/?post_type=call_for_papers&#038;p=1696"},"modified":"2021-01-13T23:55:50","modified_gmt":"2021-01-13T22:55:50","slug":"improving-energy-efficiency-through-data-driven-modeling-simulation-and-optimization","status":"publish","type":"call_for_papers","link":"https:\/\/www.netscientificjournals.com\/smart-platform\/?call_for_papers=improving-energy-efficiency-through-data-driven-modeling-simulation-and-optimization","title":{"rendered":"Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization"},"content":{"rendered":"<p>Rising energy costs and the effect of greenhouse gases stimulate the need for more efficient energy systems. The increase of computational power combined with advanced modeling and simulation tools makes it possible to derive innovative solutions that can reduce the ecological footprint. This Special Issue focuses on novel contributions that are based on data-driven approaches, machine learning, and artificial intelligence for modeling, simulation, and optimization of energy systems.\u00a0Topics of interest for publication include, but are not limited to:\u00a0Non-intrusive load monitoring of energy consumption in buildings; Data-driven modeling approaches for energy prediction and forecasting; Energy modeling using neural architectures and deep learning;\u00a0Advanced decision making using machine learning or artificial intelligence; Energy flexibility assessment, demand prediction, and load balancing for smart grids; Reinforcement learning techniques for energy management and optimization; Simulation-based multiobjective optimization for energy and buildings; Optimization and advanced heuristics for intelligent or adaptive systems.<br \/>\nKeywords: load monitoring; energy forecasting; energy modeling; machine learning; smart intelligent systems; energy optimization; simulation.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"template":"","format":"standard","topic":[192,430,644,576,597,444,449,696,615,545,563,572,604,499,674,575,512],"country":[55],"nsj_language":[57],"class_list":["post-1696","call_for_papers","type-call_for_papers","status-publish","format-standard","hentry","topic-artificial-intelligence","topic-big-data","topic-data-analysis-processes","topic-data-management","topic-data-sensing-and-analysis","topic-digital-modeling","topic-energy-efficiency","topic-innovative-applications","topic-innovative-technologies","topic-machine-learning","topic-modeling","topic-monitoring","topic-process-modeling-and-simulation","topic-simulation-tools","topic-smart-systems","topic-smart-tools","topic-tools","country-switzerland","nsj_language-english"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization - NetScientficJournals.com - Science Magazines, Events and More<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.netscientificjournals.com\/smart-platform\/?call_for_papers=improving-energy-efficiency-through-data-driven-modeling-simulation-and-optimization\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization - NetScientficJournals.com - Science Magazines, Events and More\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"Rising energy costs and the effect of greenhouse gases stimulate the need for more efficient energy systems. 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