Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy
Series: EAI/Springer Innovations in Communication and Computing;
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Product details:
- Edition number 2023
- Publisher Springer International Publishing
- Date of Publication 16 June 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031264986
- Binding Paperback
- See also 9783031264955
- No. of pages285 pages
- Size 235x155 mm
- Language English
- Illustrations XXII, 285 p. 116 illus., 90 illus. in color. Illustrations, black & white 571
Categories
Long description:
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.
Table of Contents:
Technology, Energy and Development: The South Korean Transition
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Objectivity and Historical Understanding
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