Machine Learning Applications in Renewable Energy

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.

• 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.