Power Engineering and Intelligent Systems (eBook, PDF)

Proceedings of PEIS 2023, Volume 2
Redaktion: Shrivastava, Vivek; Panigrahi, Bijaya Ketan; Bansal, Jagdish Chand

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 472
• Erscheinungstermin: 22. Januar 2024
• Englisch
• ISBN-13: 9789819973835
• Artikelnr.: 69835732

Autorenporträt

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 He has significant industrial experience of collaborating with industry and Government government organizations at SanDisk Semiconductors. he 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 Programme (Electrical Engineering) and Master programme ( 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, and presented papers at conferences, and has published several chapters in books. He has supervised 05 Ph.D. and 16 Masters 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 Windwind, Photovoltaic photovoltaic (PV), Hybrid hybrid Power power Systemssystems, Distributed distributed Generationgeneration, Grid gridIntegration integration of Renewable renewable Energyenergy, Power power Systems systems Analysisanalysis, and Smart smart Gridgrid. Dr Shrivastava is an Editor/Associate Editor of the Journals, International Journal of Swarm Intelligence (IJSI) and International Journal of System Assurance Engineering and Management. He is a fellow of the Institution of Engineers (India), and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Dr. Jagdish Chand Bansal is an Associate Professor (Senior Grade) at South Asian University New Delhi, and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. BansalHe obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV-- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary primary area of interest is Swarm swarm Intelligence intelligence and Nature nature-Inspired inspired Optimization optimization Techniquestechniques. Recently, he proposed a fission-fusion social structure structure-based optimization algorithm, Spider spider Monkey monkey Optimization 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 the Section Editor (editorEditor-in-chiefChief) of the journal MethodsX published by Elsevier. He is the sSeries editor 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 the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels. Bijaya Ketan Panigrahi is a Professor in the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as a fFaculty in Electrical Engineering Department, UCE Burla, Odisha, India, from 1992 to 2005. He is a 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 the eEditorial board Board memberMember, associate Associate editorEditor, and special Special issue Issue guest Guest editor 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.

Inhaltsangabe

1. A Comprehensive Survey on Security of Single Source Cloud to Distributed Enviroments Edge and Fog Computing.- 2. Load Frequency Control Of A Two Area Power System Using Different Optimization Techniques.- 3. A Comparative Analysis on Various Modified Deep Convolution Neural Networks on Maize Plant Leaf Disease Classification.- 4. State of Charge estimation of Li-Ion Batteries using Random Forest Regression Model with modified Parameters for Multiple Cycles.- 5. Ensemble Learning for Churn Analysis: A Comprehensive Evaluation of Methods.- 6. Performance analysis of Solar PV system for the remote region of State West Bengal, India