Machine Learning Applications in Renewable Energy

Author:   Namrata Manohar ,  Mousmi Ajay Chaurasia ,  Stefan Mozar ,  Chia-Feng Juang
Publisher:   Springer Verlag, Singapore
Edition:   2025 ed.
ISBN:  

9789819799381


Pages:   244
Publication Date:   27 February 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Machine Learning Applications in Renewable Energy


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Author:   Namrata Manohar ,  Mousmi Ajay Chaurasia ,  Stefan Mozar ,  Chia-Feng Juang
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
Edition:   2025 ed.
ISBN:  

9789819799381


ISBN 10:   9819799384
Pages:   244
Publication Date:   27 February 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Renewable Energy Technologies (RET) – Society   and Government Perspective.- 2. Waste-to-Energy (wte).- 3. Computation of Energy from Waste.- 4. Grid Integration of Renewable Energy System(gires).- 5. Artificial Intelligence and IOT in Renewable Energy.

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Author Information

Namratha Manohar obtained her engineering degree from Osmania University, Hyderabad, Telangana, India, and her Ph.D. in Electrical Engineering from JNTU, Hyderabad. She has 18 years of experience at the middle management level at M/s. Hindustan Cables Ltd., India, and 26 years of academic experience in engineering colleges. She is an IEEE Senior member and currently serves as an Adjunct Professor in the Department of Electrical Engineering at different colleges in Hyderabad, India.   Mousmi Ajay Chaurasia is working as a Professor in the Department of Computer Science and Engineering at Koneru Lakshmaiah Education Foundation, Hyderabad. She edited three books and has five patents to her name. She has worked in South Korea and Saudi Arabia and handled various projects funded by respective governments. She has been part of several International Conferences and Workshops. Her research interests are artificial intelligence, big data, geoscience, and remote sensing.   Stefan Mozar obtained his engineering degree from the University of New South Wales in Sydney, Australia, and his MBA from the University of Technology Sydney. He is a fellow of the IEEE, and of the Institution of Engineers, Australia. He is Chartered Professional Engineer and has extensive experience in industry and academia. He has held senior leadership roles in various technology companies and has taught at a number of Australian, Asian and British Universities. His work has resulted in inventions, patents and publications.   Chia-Feng Juang is currently a Distinguished Professor in the Department of Electrical Engineering at the National Chung Hsing University, Taiwan. His current research interests include computational intelligence, intelligent control, computer vision and intelligent robots. He was IEEE Computational Intelligence Society Distinguished Lecture in 2020-2022. He is Associate Editor for several journals, including the IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

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