ZHAO, Junhua

Professor

IET Fellow, Elsevier Highly Cited Scholar of China
Education Background

Ph.D. (The University of Queensland, Australia)

B.E. (Xi’an Jiaotong University, China)

Research Field
Power system analysis and computation, smart grid, data mining, artificial intelligence, electricity market
Academic Area
Computer Engineering, New Energy Science and Engineering, Artificial Intelligence and Robotics
Personal Website
Email
zhaojunhua@cuhk.edu.cn
Biography

Dr. Junhua Zhao is currently a professor at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. He is also the Executive Director of CUHKSZ - CSIJRI Joint Centre of Smart Energy Storage, the Director of the Energy Market and Energy Finance Laboratory at Shenzhen Finance Institute (SFI) and a researcher at Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS). Before returning to China, he acted as the Principal Research Scientist of the Centre for Intelligent Electricity Networks, the University of Newcastle, Australia, with 11 years of working experience in the power industry in Australia. He has been engaged in research on smart grid, electricity market, low-carbon transition, and artificial intelligence for a long time. Dr. Junhua Zhao has published 300+ research papers in famous domestic and international journals and international conferences, including one in Joule (Cell Press), one in Patterns (Cell Press), two in Scientific Data (Nature Publishing Group), and one in Engineering (Published by the Chinese Academy of Engineering). More than 60 papers have been published in IEEE Transactions. The published papers have been cited 15000+ times, and the H-index is 61 (according to Google Scholar statistics). Dr. Junhua Zhao also co-authored two books in English.

Dr. Junhua Zhao was elected to IET Fellow (Institution of Engineering and Technology, UK) in 2023. He was named as the Intelligent Computing Innovator of China in 2023. From 2021 to 2023, he was consecutively selected as “Elsevier Highly Cited Scholar of China”. He received International Financial Forum (IFF) “Global Green Finance Award” in 2023, the Outstanding Contribution Award of Electric Science and Technology of Guangdong Province in 2022, the second prize of the Zhejiang Natural Science Award in 2020, the most influential paper of the year in Energy Conversion and Economics 2020, "Young Scientist of the Future" award by ADC Forum in 2017, "One Hundred Most Influential Chinese Scientific and Technological Journals in China" by the Ministry of Science and Technology (China) in 2017, the best reviewer award by IEEE Transactions on Smart Grid in 2016, the Best Paper Award of IEEE PES General Meeting in 2014. He won the second prize in the Science and Technology Progress Award of Hunan Province twice. In 2020, he won the second prize in the selection of key topics of the Financial Association, Shenzhen. The research results have had an important impact on the industry. He served as an expert group member of China's first provincial electricity spot market and the first regional electricity spot market and participated in the design of China's first cross-border carbon trading product. In addition, several software products he participated in were successively applied to Consolidated Edison Company of New York, The Hongkong Electric Company, Guangdong Energy Group, China National Offshore Oil Corporation, Datang International Power Generation company, etc.

Dr. Junhua Zhao is the specially invited energy industry expert of China Merchants Bank headquarters, the specially invited external expert for the Australian National Outlook, and the co-chair of IEEE Special Interest Group (SiG) on Active Distribution Grids and Microgrids. He is also the Secretary of the Asia Pacific Working Group, IEEE PES SBLC (Smart Building, Load and Customer). He served as the Member of the Expert Group of "Interfaces of Grid Users/ Focus on EV and Local Storage", GSGF. He is the editorial board member of several international journals, such as IEEE Transactions on Network Science and Engineering, Energy Conversion and Economics, etc.

Prof. Junhua Zhao jointly cultivates doctoral students with Prof. Chaoyang Dong from City University of Hong Kong and Prof. Yingjun Zhang from The Chinese University of Hong Kong. Excellent doctoral students can choose to exchange to the headquarters of City University of Hong Kong or The Chinese University of Hong Kong for a year to carry out cooperative research.

Currently, the research group has produced 8 PhDs, 6 MScs, and 1 postdoc. Their respective career paths upon graduation are listed below:

PhD:

Gaoqi Liang: Professor, Harbin Institute of Technology, Shenzhen

Jiajia Yang: Senior Lecturer, James Cook University, Australia

Huan Zhao: Research Assistant Professor, The Hong Kong Polytechnic University

Guolong Liu: Post-doctorate, Nanyang Technological University, Singapore

Wenxuan Liu: Post-doctorate, Nanyang Technological University, Singapore

Haijin Wang: China Southern Power Grid Company Limited

Jinjie Liu: Post-doctorate, Durham University, UK

Binghao He: China Southern Power Grid Company Limited

 

Master:

Caomingzhe Si: Continue to pursue a PhD at Tsinghua University

Xinlei Wang: Continue to pursue a PhD at the University of Sydney

Yuji Cao: Continue to pursue a PhD at The Chinese University of Hong Kong

Gang Fan: Harvest Fund Management Co., Ltd.

Yige Nie: Shopee

Yuxuan Liu: Industrial and Commercial Bank of China

 

Post-doctorate:

Yang Chao: Lecturer, North China Electric Power University

 

Academic Publications
  1. X. Ding, Z. Zhang, J. Sun, J. Loh, D. Ji, J. Lu, C. Liu, L. Zhao, W. Liu, J. Zhao, Thermal radiative catalysis: Selective dehydrogenation of ethane to ethylene by vibrationally excited carbon dioxide, Joule (Cell Press) 7 (10), 2318-2334.
  2. J. Gu, X.Wang, C. Li, J. Zhao(*), W. Fu, G.Liang, J. Qiu, AI-enabled image fraud in scientific publications, Patterns (Cell Press), vol. 3, no. 7, 2022.
  3. G. Liu, J. Liu, Y. Bai, C. Wang, H. Wang, H. Zhao, G. Liang, J. Zhao(*), et.al, EWELD: A large-scale industrial and commercial load dataset in extreme weather events, Scientific Data (Nature Research Journal), 2023.
  4. D. Huo, K. Liu, J. Liu, Y. Huang, T. Sun, Y.Sun, C. Si, J.Liu, X. Huang, J. Qiu, H. Wang, D. Cui, B. Zhu, Z. Deng, P. Ke, Y. Shan, O. Boucher, G.Dannet, G. Liang, J. Zhao, L. Chen, Q. Zhang, P. Ciais, W. Zhou, Z. Liu, Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China, Scientific Data (Nature Research Journal), 2022
  5. G. Liang, G. Liu, J. Zhao(*), Y. Liu, J. Gu, G. Sun, Z.Y. Dong, Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation, Engineering, vol. 6, no. 7, pp. 789-800, 2020.
  6. G. Liang; J. Zhao(*), F. Luo; Steven R. Weller; Z. Dong. A review of false data injection attacks against modern power systems, IEEE Transactions on Smart Grid, 2016, 8(4): 1630-1638.
  7. Z. Dong, J. Zhao, F. Wen, Y. Xue. From smart grid to energy internet: basic concept and research framework, Automation of electric power systems, 2014, 38(15): 1-11.
  8. J. Zhao; F. Wen; Z. Dong; Y. Xue; Kit Po Wong. Optimal dispatch of electric vehicles and wind power using enhanced particle swarm optimization, IEEE Transactions on industrial informatics, 2012, 8(4): 889-899.
  9. Y. Wang; J. Qiu; Y. Tao; J. Zhao. Carbon-oriented operational planning in coupled electricity and emission trading markets, IEEE Transactions on Power Systems, 2020, 35(4): 3145-3157.
  10. G Liu, J Liu, J. Zhao(*), J Qiu, Y Mao, Z Wu, F Wen. Real-time corporate carbon footprint estimation methodology based on appliance identification, IEEE Transactions on Industrial Informatics, 2022, 19(2): 1401-1412.
  11. J. Zhao, F Wen, J. Huang, J. Liu, H. Zhao, Y. Cheng, Z. Dong, Y. Xue, Prospect of Artificial General Intelligence for Power Systems Based on Large Language Model: Theory and Applications,Automation of Electric Power Systems, Vol. 48 No. 6 Mar. 25,2024.