E-mobility in Electrical Energy Systems for Sustainability
Language: English
Published by Engineering Science Reference, 2024
- Softcover
- New

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- Title
- E-mobility in Electrical Energy Systems for Sustainability
- Publisher
- Engineering Science Reference
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798369346020
"Synopsis" may belong to another edition of this title.
About the Author
Neelu Nagpal (Senior Member, IEEE) received the bachelor’s degree in electrical engineering from the Delhi College of Engineering, the master’ degree (Hons.) in control and instrumentation from Delhi University, and the Ph.D. degree in electrical engineering from Delhi Technological University, Delhi, India. She is presently working as an Associate Professor in EEE Department of Maharaja Agrasen Institute of Technology, Delhi (affiliated to GGSIP University, Delhi). She has a grant of one Australian patent. Her research interests include stochastic and nonlinear control, state estimation, smart grid technologies, renewable energy integration, and artificial intelligence. She was a recipient of the Commendable Research Award from Delhi Technological University, during her Ph.D. course. She is the Vice-Chair of the 2023 IEEE Smart Cities Ambassador Program. She is Associate Editor of IEEE Journal of Emerging and Selected Topics in Power Electronics (Special issue) and Editor of 2 books.
Neelam Kassarwani received her B. E. degree in electrical engineering from Gorakhpur University, Gorakhpur, her M.E. degree in electrical engineering (Power Apparatus and Systems) from Delhi University, Delhi, India, and her Ph.D. degree in electrical engineering from the National Institute of Technology (NIT), Kurukshetra, Haryana, India. She did her Ph.D. on the topic “Performance Study of Dynamic Voltage Restorer for Mitigation of Voltage Sags”. Currently, she is working as an Associate Professor in the Electrical and Electronics Engineering Department at the Maharaja Agrasen Institute of Technology, Delhi, India. She received the award of national scholarship during her graduation. She has vast experience in teaching various subjects, power systems, control systems, materials in electrical systems, and power electronics for more than eighteen years in various Technical Institutes. She has also worked with a Govt. Consultancy as an Electrical Engineer for eight years. She has published various papers in international journals and conferences. Her research findings are related to artificial intelligence, machine learning applications in power systems, power systems, dynamic voltage restorer, load frequency control, load forecasting, prediction, and optimization techniques. She has authored and co authored various research papers, and chapters published.
Vishnuvarthanan Govindaraj is an Associate Professor at VIT-Bhopal University, Bhopal, Madhya Pradesh, in the Division of Data Science of the School of Computing Science and Education. He earned a PhD in Electronics and Communication Engineering for his thesis “Tumor Detection and Tissue Segmentation in Multimodal MR Brain Images Using Fuzzy and Optimization Techniques” in 2015. He taught at three of Tamil Nadu's top engineering schools for fourteen years. He has published more than 100 journal papers in 31 international journals included in the Science Citation Index Database, with the greatest impact factor being 17.560 and the average being 4.923. His publications in IEEE Transactions on Fuzzy Systems (12.253), Industrial Informatics (11.648), and Information Fusion (Elsevier) are notable. He has written or co-written more than 70 SCOPUS-indexed conference papers. He has two Scopus-indexed book chapters and has reviewed fourteen journals, including IEEE Transactions on Fuzzy Systems, Neural Networks and Learning Systems, Current Medical Imaging and Reviews, and Neural Processing Letters. Three journals―Computers in Biology and Medicine, Applied Soft Computing, and OPTIK―have accredited him as a reviewer. Medical Image Processing, AI, Machine Learning, and Pattern Recognition are his specialties.
Pierluigi Siano (M’09–SM'14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Full Professor of Electrical Power Systems and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. In 2013 he received the Italian National Scientific Qualification as Full Professor in the competition sector electrical energy engineering. His research activities are centered on the integration of distributed energy resources in smart distribution systems and on planning and management of power systems. In these research fields, he has co-authored more than 760 articles including more than 460 international journals that received in Scopus more than 20200 citations with an H-index equal to 68. Since 2019 he has been awarded as a Highly Cited Researcher in Engineering by Web of Science Group. He has been the Chair of the IES TC on Smart Grids. He is an Editor for the Power & Energy Society Section of IEEE Access, IEEE TRANSACTIONS ON POWER SYSTEMS, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE SYSTEMS.
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Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
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