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Titlebook: Artificial Intelligence of Things for Smart Green Energy Management; Sarah El Himer,Mariyam Ouaissa,Zakaria Boulouard Book 2022 The Editor

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发表于 2025-3-21 17:09:16 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence of Things for Smart Green Energy Management
影响因子2023Sarah El Himer,Mariyam Ouaissa,Zakaria Boulouard
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发行地址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
学科分类Studies in Systems, Decision and Control
图书封面Titlebook: Artificial Intelligence of Things for Smart Green Energy Management;  Sarah El Himer,Mariyam Ouaissa,Zakaria Boulouard Book 2022 The Editor
影响因子.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.
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Evaluation of the Recommended Algorithms in the Internet of Things,n is provided. Our concern is to construct an abstract end-user authentication approach that considers IoT requirements. According to our results, security solutions for IoT have to utilize algorithms, which have good performance.
发表于 2025-3-22 17:14:38 | 显示全部楼层
IoT Safe Area: An Innovative Approach for a Smart Decentralized and Hybrid Decision Support Processos for negotiated interaction mechanisms that concern the safe storage and picking operations are proposed. Using intelligence in Warehouse Management System (WMS) results in proposing an “IoT-controlled Safe Area” (IoT-SA) as a new concept. Our contribution is to make decisional, communicational an
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2198-4182 ence 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.978-3-031-04853-1978-3-031-04851-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
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Book 2022 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.
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