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Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

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Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy Synopsis

This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

About This Edition

ISBN: 9783031264986
Publication date:
Author: Mukhdeep Singh Manshahia, Valeriy Kharchenko, GerhardWilhelm Weber, Pandian Vasant
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 285 pages
Series: EAI/Springer Innovations in Communication and Computing
Genres: Alternative and renewable energy sources and technology
Artificial intelligence