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Applications of AI and IOT in Renewable Energy

Contributor(s): Shaw, Rabindra Nath (Editor), Ghosh, Ankush (Editor), Mekhilef, Saad (Editor)

ISBN: 9780323916998

Publisher: Academic Press

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Pub Date: February 15, 2022

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.52" H x 9.00" L x 6.00" W ( 0.74 lbs) 246 pages

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Description:

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 The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles.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, fuzzy logic and a combination of the above in hybrid systems are included.

This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems.

  • Includes future applications of AI and IOT in renewable energy
  • Based on case studies to give each chapter real-life context
  • Provides advances in renewable energy using AI and IOT with technical detail and data

Brief description: Rabindra Nath Shaw is a Senior Member of IEEE (USA), currently holding the post of Director, International Relations, Galgotias University India. He is an alumnus of the applied physics department, University of Calcutta, India. . He has more than eleven years teaching experience in leading institutes like Motilal Nehru National Institute of Technology Allahabad, India, Jadavpur University and others in UG and PG level. He has successfully organised more than fifteen International conferences as Conference Chair, Publication Chair and Editor. He has published more than fifty Scopus/ WoS/ ISI indexed research papers in International Journals and conference Proceedings. He is the editor of several Springer and Elsevier books. His primary area of research is optimization algorithms and machine learning techniques for power system, IoT Application, Renewable Energy, and power Electronics converters. He also worked as University Examination Coordinator, University MOOC's Coordinator, University Conference Coordinator and Faculty- In Charge, Centre of Excellence for Power Engineering and Clean Energy Integration.

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