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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.
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