Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

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Springer


Paru le : 2023-06-14

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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.

Pages
285 pages
Collection
n.c
Parution
2023-06-14
Marque
Springer
EAN papier
9783031264955
EAN PDF
9783031264962

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
13210 Ko
Prix
179,34 €
EAN EPUB
9783031264962

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
27986 Ko
Prix
179,34 €

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