Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch

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Engineering Applications of Computational Methods 14

ISBN: 9819908019
ISBN 13: 9789819908011
Verlag: Springer Verlag GmbH
Umfang: xviii, 260 S., 1 s/w Illustr., 91 farbige Illustr., 260 p. 92 illus., 91 illus. in color.
Erscheinungsdatum: 07.05.2024
Weitere Autoren: Li, Yuanzheng/Zhao, Yong/Wu, Lei et al
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3601344 Kategorie:

Beschreibung

Autorenporträt

Yuanzheng Li received the M.S. degree in electrical engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2011 and the Ph.D. degree in electrical engineering from the South China University of Technology, Guangzhou, China, in 2015. He was a visiting Ph.D. student in the Department of Electrical and Electronics Engineering, University of Liverpool, UK, during January to December 2014. After obtaining the Ph.D. degree, he went to Nanyang Technical University, Singapore, and was a research fellow in School of Electrical and Electronics Engineering from June 2016 to December 2017. Currently, Dr. Li is an associate professor in School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. He is also a core member of the Future Power Grid Research Institute, which is supported by STATE GRID Corporation of China. His research interests include artificial intelligence and its application in smart grid, deeplearning, reinforcement learning, optimal power system/microgrid dispatch and decision making, stochastic optimization considering large-scale integration of renewable energy into the power system and multi-objective optimization. He has authored or coauthored several peer-reviewed papers in international journals, including more than 40 IEEE Transactions papers. Some of the papers have been selected as Feature Article, ESI Highly Cited Paper, Best Conference Award, Highly Cited Journal Paper, etc. He is the associate editor of IEEE Transactions on Intelligent Vehicles and IET Renewable Power Generation.  Yong Zhao received the M.S. degree and Ph.D. degree in system engineering from the Huazhong University of Science and Technology, Wuhan, China, in 1992 and 1996, respectively. He was then a postdoc in mechanical engineering during 1996 to 1998. He was promoted as an associate professor and a full professor in School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, in 1998 and 2000, respectively. He was a visiting scholar in the Department of System Engineering, University of Oxford, UK, during 2005 to 2006.  Currently, he is the vice director of Future Power Grid Research Institute, which is supported by STATE GRID Corporation of China. His research interests include decision-making theory, operation research, power system markets, integrated energy systems, and smart grids. He has authored or coauthored several peer-reviewed papers in international journals and supervised more than 20 Ph.D. students.   Lei Wu received the B.S. degree in electrical engineering and the M.S. degree in systems engineering from Xi'an Jiaotong University, Xi'an, China, in 2001 and 2004, respectively, and the Ph.D. degree in electrical engineering from Illinois Institute of Technology (IIT), Chicago, IL, USA, in 2008. From 2008 to 2010, he was a senior research associate with the Robert W. Galvin Center for Electricity Innovation, IIT. He was a professor with the Electrical and Computer Engineering Department, Clarkson University, Potsdam, NY, USA, till 2018. He is currently a professor with the Electrical and Computer Engineering Department, Stevens Institute of Technology, Hoboken, NJ. His primary research and teaching areas are focused on power and energy system optimization and control, with specific interests in the modeling of large-scale power systems with a high penetration of demand response and renewable energy, and community resilience microgrid. He is the recipient of Transactions Prize Paper Award from the IEEE Power and Energy Society (PES) in 2009 and the IEEE PES Student Prize Paper Award in Honor of T. Burke Hayes as an adviser in 2014. He is an IEEE fellow.   Zhigang Zeng received the Ph.D. degree in systems analysis and integration from Huazhong University of Scienceand Technology, Wuhan, China, in 2003. He is currently a professor with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. He has published more than 100 international jou

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