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Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy - Mukhdeep Singh Manshahia - Bog

Bag om Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031264955
  • Indbinding:
  • Hardback
  • Sideantal:
  • 308
  • Udgivet:
  • 15. juni 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 160x23x241 mm.
  • Vægt:
  • 629 g.
  • 8-11 hverdage.
  • 16. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

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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