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 serves as a Subject Editor of IET Generation, Transmission & Distribution, a Editor of IEEE trans on Smart Grid, 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. Please find our lab IResX here: https://jinzhaotcd.github.io/
Publications and Further Research Outputs
Peer-Reviewed Publications
C. Li, F. Li, S. Jang, J. Zhao, S. Fan, and L. M. Tolbert, Resilience-Oriented DG Siting and Sizing Considering Energy Vulnerability Constraint, IEEE Transactions on Smart Grid, 2026
X. Cui, J. Zhao, C. -K. Lee and Y. Hou, Robust Co-Planning of Dynamic Wireless Charging Lanes and Remote-Controlled Switches Under Exogenous and Endogenous Uncertainties, IEEE Transactions on Smart Grid, 2026
Yang Shen, Quan Zhou, Jin Zhao, Pioneering Climate Change Adaptation: Sustainable Power Systems Enhanced by Integrated Satellite"Terrestrial Networks, IEEE Energy Sustainability Magazine, 1, (1), 2025, p53 - 65, p53-65
H. Zhao, S. Liao, B. Liu, Z. Fang, H. Wang, C. Cheng, J. Zhao, Multiagent optimization for short-term generation scheduling in hydropower-dominated hydro-wind-solar supply systems with spatiotemporal coupling constraints, Applied Energy, 382, 2025
Fangxing Li, Qingxin Shi, Jin Zhao, Resilience-oriented short-term planning in urban-level power networks, Elsevier eBooks, 2025, p83 - 105, p83-105
Yunpeng Xiao, Yuerong Zhu, Ying Qu, Jin Zhao, Haipeng Xie, Xiuli Wang, Xifan Wang, Locational marginal capacity pricing for power system resilience, Energy Conversion and Economics, 6, (6), 2025, p410 - 421, p410-421
Y Shen, Q Zhou, J Zhao, Pioneering Climate Change Adaptation: Sustainable Power Systems Enhanced by Integrated Satellite"Terrestrial Networks, IEEE Energy Sustainability Magazine, 2025, p53 - 65
Fangxing Li, Qingxin Shi, Jin Zhao, Machine learning for preparation before events, Elsevier eBooks, 2025, p139 - 163, p139-163
Y Shen, J Zhao, P Chen, Q Zhou, Zero-trust Framework for Resilient Power System with Anomalous Data, 2025 IEEE Kiel PowerTech, 2025
Fangxing Li, Qingxin Shi, Jin Zhao, Machine learning for postevent restoration, Elsevier eBooks, 2025, p193 - 214, p193-214
Ran Zhu, Hongzhe Liu, Mingyu Kang, Wenwu Yu, Jin Zhao, Adversarial Scenario Generation Integrated Distributionally Robust Deep Reinforcement Learning for Survival of Critical Loads, IEEE Transactions on Smart Grid, 16, (5), 2025, p3533 - 3547, p3533-3547
Fangxing Li, Qingxin Shi, Jin Zhao, Solutions, current issues, and future challenges, Elsevier eBooks, 2025, p19 - 39, p19-39
Anna Buettner; Alberto J. Lamadrid L; Airin Rahman; Bo Chen; Christian Nauck; Jin Zhao; Nikos Hatziargyriou; Frank Hellmann; Fran Li; Hong Chen; Kaiyuan Pang; Md Fazley Rafy; Qiwei Zhang; Shishir Lamichhane; Shunbo Lei; Saeed Manshadi; Shijia Zhao; Weiqi Hua; Wei Sun, AI for Power System Resilience: Resources Toward Various Extreme Events and Operation Issues, IEEE PES, sep, 2025
Fangxing Li, Qingxin Shi, Jin Zhao, Machine learning for during-event mitigation, Elsevier eBooks, 2025, p165 - 191, p165-191
Haiyang Wan, Wenxia Liu, Qingxin Shi, Ran Zhu, Xiaochen Zhang, Jin Zhao, Real-Time Service Restoration of Coupled Power-Water Systems Considering the Spatio-Temporal Cascading Failure, IEEE Transactions on Smart Grid, 17, (1), 2025, p178 - 192, p178-192
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
J Zhao, F Li, Q Zhang, Impacts of renewable energy resources on the weather vulnerability of power systems, Nature Energy, 2024, p8
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
W Li, H Han, Y Sun, S Chen, H Liu, X Zheng, Y Liu, J Zhao, A Novel Fault Diagnosis Scheme Based on Local Fault Currents for DC Microgrids, IEEE Transactions on Power Delivery, 2024
Abhishek Duttagupta, Jin Zhao, Shanker Shreejith, Exploring Lightweight Federated Learning for Distributed Load Forecasting, IEEE SmartGridComm 2023 Conference, Glasgow, UK, 31/10/2023, 2023
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
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
Research Expertise
Description
climate adaptive energy systems, power system resilience, high renewable energy integration, microgrids, low-carbon grids, machine learning.Recognition
Representations
Secretary of IEEE load subcommittee
Secretary of IEEE EDPG GHG subcommittee
Associate Editor of IEEE trans. on Smart Grid
Senior Editor of IET Generation, Transmission & Distribution
Chair of IEEE TF AISR (https://cmte.ieee.org/pes-rsei/)
Steering Committee (PES rep) of IEEE DataPort (https://ieee-dataport.org/)
Awards and Honours
IEEE PES Technical Council Award Young Professional Award
Memberships
Alexander von Humboldt Fellow
IEEE Member, IEEE PES member.