Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

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...

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Bibliographic Details
Other Authors: Manshahia, Mukhdeep Singh (Editor), Kharchenko, Valeriy (Editor), Weber, Gerhard-Wilhelm (Editor), Vasant, Pandian (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Series:EAI/Springer Innovations in Communication and Computing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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. Based on sustainability as a fundamental factor for intelligent computing; Focuses on the role AI playsin smart living, energy transition, and sustainable development; Covers a broad range of green energy-related topics
Physical Description:XXII, 285 p. 116 illus., 90 illus. in color online resource
ISBN:9783031264962