Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy (eBook)

Mukhdeep Singh Manshahia, Valeriy Kharchenko, Gerhard-Wilhelm Weber, Pandian Vasant (Herausgeber)

eBook Download: PDF

2023
285 Seiten
Springer International Publishing (Verlag)
978-3-031-26496-2 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 14.6.2023
• Reihe/Serie: EAI/Springer Innovations in Communication and Computing
• Reihe/Serie: EAI/Springer Innovations in Communication and Computing
• Zusatzinfo: XXII, 285 p. 116 illus., 90 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Artificial Intelligence • Bio fuels • Clean Energy • Deep learning • deep neural networks • Hydrogen Energy • hydro power • machine learning • Power Systems • renewable energy • Smart computing • Soft Computing • Solar power
• ISBN-10: 3-031-26496-7 / 3031264967
• ISBN-13: 978-3-031-26496-2 / 9783031264962