Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy
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Beschreibung
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.
- Based on sustainability as a fundamental factor for intelligent computing;
- Focuses on the role AI playsin smart living, energy transition, and sustainable development;
- Covers a broad range of green energy-related topics.
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.
Based on sustainability as a fundamental factor for intelligent computing Focuses on the role AI plays in smart living, energy transition, and sustainable development Covers a broad range of green energy-related topics
Autor*in
Mukhdeep Singh Manshahia
Themen in »Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy«
Clean Energy Hydrogen energy Soft Computing Power systems Smart Computing Deep Neural Networks Deep Learning Machine Learning Solar Power Hydro Power Bio Fuels