Power Engineering and Intelligent Systems | Proceedings of PEIS 2023, Volume 1
Language: English
Published by Springer, 2024
- Softcover
- New
Condition: New
£ 242.69
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Power Engineering and Intelligent Systems | Proceedings of PEIS 2023, Volume 1 | Vivek Shrivastava (u. a.) | Taschenbuch | Lecture Notes in Electrical Engineering | xii | Englisch | 2024 | Springer | EAN 9789819972180 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller Inventory # 130806114
- Title
- Power Engineering and Intelligent Systems | Proceedings of PEIS 2023, Volume 1
- Author
- Vivek Shrivastava (u. a.)
- Publisher
- Springer
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9819972183
- ISBN 13
- 9789819972180
- Item weight
- 628 grams
- Dimensions
- 235 x 155 x 23 mm
- Seller catalogs
- Bücher
The 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. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2023), held during June 24–25, 2023, at National Institute of Technology Delhi, India.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and USA. Presently, he is holding the position of Dean Research & Consultancy at National Institute of Technology Delhi. Prior to his academic assignments, he has worked as System Reliability Engineer at SanDisk Semiconductors Shanghai China and USA. Dr. Shrivastava has significant industrial experience of collaborating with industry and government organizations at SanDisk Semiconductors; he has made significant contribution to the design development of memory products. He has contributed to the development and delivery of Five-Year Integrated B.Tech.–M.Tech. Program (Electrical Engineering) and master’s program (Power Systems) at Gautam Buddha University Greater Noida. He has extensive experience academic administration in various capacity of Dean (Research & Consultancy), Dean (Student Welfare),Faculty In-charge (Training & Placement), Faculty In-charge (Library), Nodal Officer (Academics, TEQIP-III), Nodal Officer RUSA, Experts in various committees in AICTE, UGC, etc. Dr. Shrivastava has carried out research and consultancy and attracted significant funding projects from Ministry of Human Resources & Development, Government of India, Board of Research in Nuclear Science (BRNS) subsidiary organization of Bhabha Atomic Research Organization. Dr. Shrivastava has published over 80 journal articles, presented papers at conferences, and has published several chapters in books. He has supervised 05 Ph.D. and 16 master’s students and currently supervising several Ph.D. students. His diversified research interests are in the areas of reliability engineering, renewable energy, and conventional power systems which include Wind, Photovoltaic (PV), Hybrid Power Systems, Distributed Generation, Grid Integration of Renewable Energy, Power Systems Analysis, and Smart Grid. Dr. Shrivastavais Editor/Associate Editor of the Journals, International Journal of Swarm Intelligence, (IJSI) and International Journal of System Assurance Engineering and Management. He is Fellow of the Institution of Engineers (India) and Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
Dr. Jagdish Chand Bansal is Associate Professor (Senior Grade) at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as 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 in the engineering domain. He has published more than 70 research papers in various international journals/conferences. He is Section Editor (Editor-in-Chief) of the journal MethodsX published by Elsevier. He is Series Editor of the book series Algorithms for Intelligent Systems (AIS), Studies in Autonomic, Data-driven and Industrial Computing (SADIC), and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY published by Elsevier. He is General Secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.
B. K. Panigrahi is Professor at the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as 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 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.
"About the title" may belong to another edition of this title.
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