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Applications of AI and IOT in Renewable Energy Shaw Ghosh Mekhilef Balas

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Applications of AI and IOT in Renewable Energy

Provides the reader with an all-round understanding of the progress, potential and applications in renewable energy and artificial intelligence

Rabindra Nath Shaw (Edited by), Ankush Ghosh (Edited by), Saad Mekhilef (Edited by), Valentina Emilia Balas (Edited by)

9780323916998, Elsevier Science

Paperback / softback, published 14 February 2022

246 pages

22.9 x 15.2 x 1.7 cm, 0.41 kg

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, ]

Applications of AI and IOT in Renewable Energy Shaw Ghosh Mekhilef Balas

Applications of AI and IOT in Renewable Energy

Provides the reader with an all-round understanding of the progress, potential and applications in renewable energy and artificial intelligence

Rabindra Nath Shaw (Edited by), Ankush Ghosh (Edited by), Saad Mekhilef (Edited by), Valentina Emilia Balas (Edited by)

9780323916998, Elsevier Science

Paperback / softback, published 14 February 2022

246 pages

22.9 x 15.2 x 1.7 cm, 0.41 kg

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, ]

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