Power Engineering and Intelligent Systems
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This book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. This book is presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2025), held during March 8 9, 2025, at National Institute of Technology Srinagar, Uttarakhand, India. This book is presented in two volumes.

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Produktbeschreibung
This book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. This book is presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2025), held during March 8 9, 2025, at National Institute of Technology Srinagar, Uttarakhand, India. This book is presented in two volumes.
Autorenporträt
Professor Vivek Shrivastava, a Senior Member of IEEE, Fellow of IEI and IETE, and Life Member of ISTE, is a Professor in Electrical and Electronics Engineering and Dean (Planning & Development) at NIT Uttarakhand. With over 20 years of experience in teaching, research, and leadership across India, China, and the US, he significantly advanced engineering education. At NIT Delhi, he served as Registrar, Dean of Research, Student Welfare, Faculty Welfare, and Head of Electrical Engineering, fostering industry collaborations. At Gautam Buddha University, he designed the Five-Year Integrated B.Tech-M.Tech Programme and a Master’s in Power Systems. He contributed to educational reforms as Nodal Officer for TEQIP-III and RUSA. In industry, he worked as a System Reliability Engineer at SanDisk Semiconductors, enhancing memory product development. With over 100 publications, funded by MHRD and BRNS, he has supervised seven Ph.D. and 20 Master’s students. As Editor for international journals and a member of IEEE’s Section Standing Committee, he promotes global technical discourse. Dr. Jagdish Chand Bansal is Associate Professor at South Asian University, New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University, UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi he has worked as an Assistant Professor at ABV—Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from engineering domain. He has published more than 70 research papers in various international journals/conferences. He is Editor in Chief of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) published by Springer. Bijaya Ketan Panigrahi is Professor in the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as a Faculty in Electrical Engineering Department, UCE Burla, Odisha, India, from 1992 to 2005. He is Fellow of INAE, India. His research interest includes application of soft computing and evolutionary computing techniques to power system planning, operation, and control. He has been also working in the field of bio-medical signal processing and image processing. He has served as Editorial Board Member, Associate Editor, and special issue Guest Editor of different international journals. He is also associated with various international conferences in various capacities. He has published more than 100 research papers in various international and national journals.