Smart Electrical Grid System
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Smart technologies such as artificial intelligence, and machine learning plays a vital role in modeling, analysis, performance prediction, effective control, and utilization of smart energy systems. This text discusses grid integration of renewable energy resources, and the challenges to reduce the losses incurred with efficient power transmission.

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Produktbeschreibung
Smart technologies such as artificial intelligence, and machine learning plays a vital role in modeling, analysis, performance prediction, effective control, and utilization of smart energy systems. This text discusses grid integration of renewable energy resources, and the challenges to reduce the losses incurred with efficient power transmission.
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Autorenporträt
Krishan Arora is presently working as an associate professor and head, school of electronics and electrical engineering, Lovely Professional University, Punjab, India. He has published more than 40 research papers in refereed IEEE, Springer, and IOP Science Journals and Conferences. His area of expertise includes Electrical Machines, Non-Conventional Energy Sources, Load Frequency Control, Automatic Generation Control, and the Modernization of Smart Grids. He has taught courses such as Power Electronics, Non-Conventional Energy Sources, Electric Drives, Induction and Synchronous Machines, and Digital Electronics to undergraduate and graduate-level students. Suman Lata Tripathi is currently working as a professor at, school of electronics and electrical engineering, Lovely Professional University, Punjab, India. She has more than seventeen years of experience in academics and has published 55 research papers in refereed IEEE, Springer, and IOP science journals and conferences. She has also published 9 Indian patents and 1 copyright. She has edited more than 12 books/1 Book Series in different areas of Electronics and electrical engineering. She is associated as a senior member IEEE, Fellow IETE, and Life member ISC. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advance FET design for IoT, Embedded System Design and biomedical applications, etc. Sanjeevikumar Padmanaban is presently working as faculty, CTIF Global Capsule (CGC) Laboratory, Department of Business Development and Technology, Aarhus University, Denmark. He has authored over 300 scientific papers and was the recipient of the Best Paper cum Most Excellence Research Paper Award from IET-SEISCON'13, IET-CEAT'16, IEEE-EECSI'19, IEEE-CENCON'19. He is a Fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He is an Editor/Associate Editor/Editorial Board for refereed journals, in particular the IEEE SYSTEMS JOURNAL, IEEE Transaction on Industry Applications, IEEE ACCESS, IET Power Electronics, IET Electronics Letters, and Wiley-International Transactions on Electrical Energy Systems, Subject Editorial Board Member-Energy Sources-Energies Journal, MDPI, and the Subject Editor for the IET Renewable Power Generation, IET Generation, Transmission and Distribution, and FACTS journal (Canada).