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Artificial Intelligence-based Smart Power Systems
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Artificial Intelligence-based Smart Power Systems
$28599
Unit price
/
Unavailable
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
ARTIFICIAL INTELLIGENCE-BASED SMART POWER SYSTEMS
Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies
Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years.
To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies.
Artificial Intelligence-based Smart Power Systems includes specific information on topics such as:
- Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more.
- Recent advancements in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTs.
- Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations.
- Power and energy management systems.
Engineering colleges and universities, along with industry research centres, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
Book Details
INFORMATION
ISBN: 9781119893967
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 19 December 2022
Country: United States
Imprint: Wiley-IEEE Press
Audience: Professional and scholarly
DIMENSIONS
Weight: 1184g
Pages: 400
About the Author
Sanjeevikumar Padmanaban, PhD, is a Full Professor with the Department of Electrical Engineering, IT and Cybernetics, at the University of South-Eastern Norway, Porsgrunn, Norway. He serves as an Editor/Associate Editor/Editorial Board Member of many refereed journals, in particular, the IEEE Systems Journal, the IEEE Access Journal, IEEE Transactions on Industry Applications, the Deputy Editor/Subject Editor of IET Renewable Power Generation, and IET Generation, Transmission and Distribution Journal, Subject Editor of FACETS and Energies MDPI Journal.
Sivaraman Palanisamy is a Program Manager - EV Charging Infrastructure in WRI India. He is an IEEE Senior Member, a Member of CIGRE, and Life Member of the Institution of Engineers (India). He is an active participant in the IEEE Standards Association.
Sharmeela Chenniappan, PhD, is a Professor in the Department of EEE, CEG campus, Anna University, Chennai, India. She is an IEEE Senior Member, a Life Member of CBIP, and Member of the Institution of Engineers (India), ISTE, and SSI.
Jens Bo Holm-Nielsen, PhD, is the Head of the Esbjerg Energy Section with the Department of Energy Technology at Aalborg University. He has been an organizer of various international conferences, workshops, and training programs.
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