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 journal articles. His current research interests include theory of functional differential equations and differential equations with discontinuous right-hand sides and their applications to dynamics of neural networks, memristive systems, and control systems.
Professor Zeng was an associate editor of the IEEE Transactions on Neural Networks and Learning Systems from 2010 to 2011. He has been an associate editor of the IEEE Transactions on Cybernetics since 2014 and the IEEE Transactions on Fuzzy Systems since 2016 and a member of the Editorial Board of Neural Networks since 2012, Cognitive Computation since 2010, and Applied Soft Computing since 2013.
Professor Zeng is currently the director of Key Laboratory of Image Processing and Intelligent Control of the Education Ministry of China, Huazhong University of Science and Technology, Wuhan, China. He is also a Cheung Kong scholar and the receiver of Outstanding Fund of National Natural Science Foundation of China. He is an IEEE fellow.
11 Електронні книги від Zhigang Zeng
Hongwei Wang & Yi Shen: The Sixth International Symposium on Neural Networks (ISNN 2009)
This volume of Advances in Soft Computing and Lecture Notes in Computer th Science vols. 5551, 5552 and 5553, constitute the Proceedings of the 6 Inter- tional Symposium of Neural Networks (ISNN 2009 …
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Англійська
€309.23
Zhigang Zeng & Jun Wang: Advances in Neural Network Research and Applications
This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into …
PDF
Англійська
€213.99
Tingwen Huang & Chi Sing Leung: Neural Information Processing
The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Do …
PDF
Англійська
DRM
€57.90
Tingwen Huang & Chi Sing Leung: Neural Information Processing
The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Do …
PDF
Англійська
DRM
€57.78
Tingwen Huang & Chi Sing Leung: Neural Information Processing
The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Do …
PDF
Англійська
DRM
€57.78
Tingwen Huang & Chi-Sing Leung: Neural Information Processing
The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Do …
PDF
Англійська
DRM
€57.05
Tingwen Huang & Chi Sing Leung: Neural Information Processing
The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Do …
PDF
Англійська
DRM
€57.88
Chengan Guo & Zeng-Guang Hou: Advances in Neural Networks- ISNN 2013
The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full …
PDF
Англійська
DRM
€57.68
Chengan Guo & Zeng-Guang Hou: Advances in Neural Networks- ISNN 2013
The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full …
PDF
Англійська
DRM
€57.61
Yuanzheng Li & Yong Zhao: Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch
With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenou …
PDF
Англійська
€160.49
Yuanzheng Li & Yang Li: Flexible Load Control for Enhancing Renewable Power System Operation
This book addresses the pressing challenges faced by renewable power system operation (RPSO) due to the increasing penetration of renewable energy and flexible load. These challenges can be divided i …
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Англійська
€139.09