Manshahia / Kharchenko / Weber Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

1. Auflage 2023
ISBN: 978-3-031-26496-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 285 Seiten

Reihe: EAI/Springer Innovations in Communication and Computing

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.

Autoren/Hrsg.

Manshahia, Mukhdeep Singh

Kharchenko, Valeriy

Weber, Gerhard-Wilhelm

Vasant, Pandian