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Artificial Intelligence of Things for Smart Green Energy Management (1st ed. 2022): Sarah El Himer, Mariyam Ouaissa,... Artificial Intelligence of Things for Smart Green Energy Management (1st ed. 2022)
Sarah El Himer, Mariyam Ouaissa, Abdulrahman A. A. Emhemed, Mariya Ouaissa, Zakaria Boulouard
R5,234 Discovery Miles 52 340 Ships in 10 - 15 working days

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.

Artificial Intelligence of Things for Smart Green Energy Management (Hardcover, 1st ed. 2022): Sarah El Himer, Mariyam Ouaissa,... Artificial Intelligence of Things for Smart Green Energy Management (Hardcover, 1st ed. 2022)
Sarah El Himer, Mariyam Ouaissa, Abdulrahman A. A. Emhemed, Mariya Ouaissa, Zakaria Boulouard
R5,267 Discovery Miles 52 670 Ships in 10 - 15 working days

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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