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Dr. Jin Zhao

Assistant Professor (Electronic & Elect. Engineering)

 zhaoj6@tcd.ie

 


Biography

Jin Zhao is an Assistant Professor at Trinity College Dublin. Her research interests include Resilient Energy System, Electricity, Operation of Highly Renewable Energy Integrated Systems, Microgrids and Machine Learning. She is the Alexander von Humboldt Fellow of Germany. She was a Research Scientist at The University of Tennessee (UTK). She received the B.E. and Ph.D. degrees from Shandong University, Jinan, China, all in the electrical engineering, in 2015 and 2020, respectively. She is a Subject Editor of IET Generation, Transmission & Distribution, and a regular reviewer for several IEEE and Nature Portfolio journals. She is the chair of IEEE Task Force AISR and PES representative of IEEE DataPort. She was an outstanding reviewer of several IEEE Trans. journals. Personal website for more information: https://sites.google.com/view/jin-zhao

Representations

Details Date
Chair of IEEE TF AISR (https://cmte.ieee.org/pes-rsei/)
Steering Committee (PES rep) of IEEE DataPort (https://ieee-dataport.org/)
Subject Editor of IET Generation, Transmission & Distribution

Languages

Language Skill Reading Skill Writing Skill Speaking
Chinese Fluent Fluent Fluent
English Fluent Fluent Fluent

Memberships

Membership of Professional Institutions, Associations, Societies

Details Date From Date To
Alexander von Humboldt Fellow
IEEE Member, IEEE PES member.
J Zhao, F Li, Q Zhang, Impacts of renewable energy resources on the weather vulnerability of power systems, Nature Energy, 2024, p8 , Notes: [https://doi.org/10.1038/s41560-024-01652-1], Journal Article, PUBLISHED
X Hu, J Yang, Y Gao, M Zhu, Q Zhang, H Chen, J Zhao, Adaptive power flow analysis for power system operation based on graph deep learning, International Journal of Electrical Power & Energy Systems, 2024, Journal Article, PUBLISHED
Qiwei Zhang, Fangxing Li, Xin Fang, Jin Zhao, Implications of Electricity and Gas Price Coupling in US New England Region, IScience, 27, (1), 2024, p1 - 11, Notes: [https://doi.org/10.1016/j.isci], Journal Article, PUBLISHED
Abhishek Duttagupta, Jin Zhao, Shanker Shreejith, Exploring Lightweight Federated Learning for Distributed Load Forecasting, IEEE SmartGridComm 2023 Conference, Glasgow, UK, 31/10/2023, 2023, Conference Paper, PUBLISHED  TARA - Full Text
J. Zhao, F. Li, H. Sun, Q. Zhang and H. Shuai, Self-Attention Generative Adversarial Network Enhanced Learning Method for Resilient Defense of Networked Microgrids Against Sequential Events, IEEE Transactions on Power Systems, 2023, Journal Article, PUBLISHED
J. Zhao, F. Li, S. Mukherjee and C. Sticht, Deep Reinforcement Learning-Based Model-Free On-Line Dynamic Multi-Microgrid Formation to Enhance Resilience, IEEE Transactions on Smart Grid, 2022, Journal Article, PUBLISHED
  


  

Research Interests

Description Of Research Interests

Power system resilience, high renewable energy integration, microgrids, low-carbon grids, deep learning & deep reinforcement learning.