£126.00

Academic Press Applications of AI and IOT in Renewable Energy

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Description

Product 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 The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles.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. Review Provides the reader with an all-round understanding of the progress, potential and applications in renewable energy and artificial intelligence About the Author 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. Ankush Ghosh is presently working as Associate Professor in the School of Engineering and Applied Sciences, The Neotia University, India. He has more than 15 years of experience in Teaching, research as well as industry. He has outstanding research experiences and published more than 80 research papers in International Journal and Conferences. He was a research fellow of the Advanced Technology Cell- DRDO, Govt. of India. He was awarded National Scholarship by HRD, Govt. of India. He received his Ph.D. (Engg.) Degree from Jadavpur University in 2010. His UG and PG teaching assignments include Microprocessor and microcontroller, AI, IOT, Embedded and real time systems etc. He has delivered Invited lecture in a number of international seminar/conferences, refreshers courses, and FDPs. He has guided a large number of M.Tech and Ph.D. students. He is Editorial Board Member of several International Journals. Saad Mekhilef received the B.Eng. degree in Electrical Engineering from the University of Setif in 1995, and the M.Eng.Sc. and Ph.D. Degrees in Electrical Engineering from the University of Malaya in 1998 and 2003, respectively. He is currently a Professor in the Department of Electrical Engineering at the University of Malaya and has been actively involved in industrial consultancy for major corporations in the power electronics projects. He is the author and co-author of more than 100 publications in international journals and proceedings. His research interest includes power conversion techniques, control of power converters, renewable energy, and energy ef?ciency. Dr. Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu University of Ara

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
18 February 2022
Listed Since
02 September 2021

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