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Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources explores how AI techniques enhance renewable energy systems through optimized power electronics. This essential guide introduces machine learning applications for improving control, predictive maintenance, and fault detection across renewable sources like solar and wind. With real-world case studies and practical insights, the book equips engineers, researchers, and students with tools to tackle challenges in renewable integration, power quality, and system reliability. An invaluable resource for both beginners and experts, this book sheds light on AI-driven innovations shaping a sustainable energy future.
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Dr. Kumar K, Dr. V Lakshmi Devi
Dr. Kumar K is currently a Professor in Dept. of EEE at SVCE, Tirupati, with a Ph.D. from VIT University in 2019. He specializes in power electronic applications for renewable energy and hybrid electric vehicles. He holds an M.Tech. from SV College of Engineering and Technology and a B.Tech. from SV College of Engineering. His research work focused on the field of power electronic applications in renewable energy sources and hybrid electric vehicles. With over 40 publications, he is ratified as Assistant Professor by JNTU-A, ANANTHAPURAMU, and is a permanent member of AMIE, senior IEEE Member MISTE, and IAENG.
Dr. V Lakshmi Devi is currently a Professor & HOD in the Dept. of EEE at SV College of Engineering, Tirupati, India. She earned her Ph.D. in 2019 from JNTUA, Ananthapuram. She holds an M.Tech. in Electrical Power Engineering and a B.Tech. in EEE. Dr. Devi's research centers around power systems, optimization, and the application of power electronics in renewable energy and hybrid electric vehicles. As a ratified Assistant Professor at JNTU-A, Ananthapuramu, she has published over 35 research papers in international journals and conferences. Dr. Devi is a permanent member of I MISTE, , IAENG and senior IEEE Member .
