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The text showcases the use of artificial intelligence and machine learning-based algorithms with advanced tools and methodologies for diverse engineering applications. It further discusses topics such as data preprocessing, cross-validation techniques, support vector machines in manufacturing, and reinforcement learning for control systems.
Krishan Arora is presently working as an associate professor, and head of the Department, of Power Systems in the School of Electronics and Electrical Engineering, at Lovely Professional University, Punjab. India. He has published more than 70 research papers in refereed Science Journals and Conferences. His areas of expertise include electrical machines, non-conventional energy sources, load frequency control, automatic generation control, and modernization of smart grids. He has taught courses like power electronics, non-conventional energy sources, electric drives, induction and synchronous machines, and digital electronics at senior undergraduate and graduate levels.
Himanshu Sharma is currently working as an associate professor, at G.H. Raisoni College of Engineering and Management, Maharashtra, India. He has published research papers in journals and conferences of national and international repute. His area of expertise includes power electronics, optimization techniques, load-frequency control, automatic generation control, and modernization of smart grids. He has taught courses like power electronics, non-conventional energy sources, electric drives, induction and synchronous machines, and digital electronics.
Aeidapu Mahesh works as an assistant professor, in the Department of Electrical Engineering, at Sardar Vallabhbhai National Institute of Technology, Surat, India. He has published journal papers and presented papers at national and international conferences. His research interests include hybrid renewable energy systems, evolutionary optimization techniques, power electronics, and drives.
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