| 期刊全稱 | Artificial Intelligence of Things for Smart Green Energy Management | | 影響因子2023 | Sarah El Himer,Mariyam Ouaissa,Zakaria Boulouard | | 視頻video | http://file.papertrans.cn/163/162531/162531.mp4 | | 發(fā)行地址 | Presents state of the art of several Energy Management Systems (EMS).Assists in the development of low-cost, smart, and efficient green energy solutions.Examines the problems that various nations have | | 學科分類 | Studies in Systems, Decision and Control | | 圖書封面 |  | | 影響因子 | .This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects.?..It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries.?.The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence. | | Pindex | Book 2022 |
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派博傳思國際
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發(fā)表于 2025-3-21 17:09:16
