TY  - GEN
AB  - 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.
AU  - Manshahia, Mukhdeep Singh,
AU  - Kharchenko, Valeriy,
AU  - Weber, Gerhard-Wilhelm,
AU  - Vasant, Pandian,
CN  - TJ808
DO  - 10.1007/978-3-031-26496-2
DO  - doi
ID  - 1469745
KW  - Renewable energy sources
KW  - Artificial intelligence
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-26496-2
N1  - Includes index.
N2  - 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.
SN  - 9783031264962
SN  - 3031264967
T1  - Advances in artificial intelligence for renewable energy systems and energy autonomy /
TI  - Advances in artificial intelligence for renewable energy systems and energy autonomy /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-26496-2
ER  -