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Artificial Intelligence for Renewable Energy Systems: Artificial Intelligence and Soft Computing for Industrial Transformation

Editat de Ajay Kumar Vyas, S. Balamurugan, Kamal Kant Hiran, Harsh S Dhiman
en Limba Engleză Hardback – 2 mar 2022

Din seria Artificial Intelligence and Soft Computing for Industrial Transformation

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Specificații

ISBN-13: 9781119761693
ISBN-10: 1119761697
Pagini: 272
Dimensiuni: 150 x 230 x 20 mm
Greutate: 0.45 kg
Editura: Wiley
Seria Artificial Intelligence and Soft Computing for Industrial Transformation

Locul publicării:Hoboken, United States

Notă biografică

Ajay Kumar Vyas, PhD is an assistant professor at Adani Institute of Infrastructure Engineering, Ahmedabad, India. He has authored several research papers in peer-reviewed international journals and conferences, three books, and two Indian patents. S. Balamurugan, PhD SMIEEE, ACM Distinguished Speaker, received his PhD from Anna University, India. He has published 57 books, 300+ international journals/conferences, and 100 patents. He is the Director of the Albert Einstein Engineering and Research Labs. He is also the Vice-Chairman of the Renewable Energy Society of India (RESI). He is serving as a research consultant to many companies, startups, SMEs, and MSMEs. He has received numerous awards for research at national and international levels. Kamal Kant Hiran, PhD is an assistant professor at the School of Engineering, Sir Padampat Singhania University (SPSU), Udaipur, Rajasthan, India, as well as a research fellow at the Aalborg University, Copenhagen, Denmark. He has published more than 35 scientific research papers in SCI/Scopus/Web of Science and IEEE Transactions Journal, conferences, two Indian patents, one Australian patent granted, and nine books. Harsh S. Dhiman, PhD is an assistant professor in the Department of Electrical Engineering at Adani Institute of Infrastructure Engineering, Ahmedabad, India. He has published 12 SCI-indexed journal articles and two books, and his research interests include hybrid operation of wind farms, hybrid wind forecasting techniques, and anomaly detection in wind turbines.