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Jin Zhao is an Assistant Professor at Trinity College Dublin. She is the Alexander von Humboldt Research Fellow of Germany hosted by IE3 TU Dortmund University. She was a Research Scientist at The University of Tennessee (UTK), USA. She received the B.E. and Ph.D. degrees from Shandong University, Jinan, China, all in Electrical Engineering, in 2015 and 2020, respectively. She is a Subject Editor of IET Generation, Transmission & Distribution, Associate 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, steering committee and PES rep of IEEE DataPort. Her research interests include power system resilience, climate adaptive energy systems, optimal operation of highly renewable energy integrated systems, resilient microgrids and machine learning.
Research interests
Power System Resilience, High Renewable Energy based Low-carbon Electricity, Climate Adaptive Energy Systems, Microgrids, Deep Learning, and Reinforcement Learning.
Publications
Click here for my publications : )
Recent academic activities
Talk. Invited by IEEE PES Big Data Subcommittee, Dr. Zhao gives a talk on “Role of Data in Extreme Weather Defense of Power Systems”.
Talk. Dr. Zhao gives a TCD senior common room research salon talk on “AI, extreme weather and green electricity”.
Advisory. Invited by the GOV Department of the Environment, Climate and Communications (DECC), Dr. Zhao will give a talk on the IEA workshop Ireland’s energy security under transitions towards 2035.
Congrats!, Dr. Zhao published a paper 'Impacts of renewable energy resources on weather vulnerability of power systems ' on the prestigious Nature Energy. Full Article & Research Breif
Academic Roles
Chair, IEEE Task Force: Advanced Artificial Intelligence for Resilient Power System Restoration (AISR).
Please check AISR for details. Welcome to join!
Chair, 07.2024, Seattle, USA, IEEE PES General Meeting, Panel Session on 'Realizable Machine Learning in Resilient Power Grids: from lab developments to industrial applications'.
Steering Committee(PES rep), 03.2024-, IEEE DataPort.
Keynote, 11.2023, IEEE PES YP, 'Microgrid Solutions for Resilience and Sustainability'.
Panelist, 07.2023, Orlando, USA, IEEE PES General Meeting, Panel Session on 'Exploring Feasibility of Machine Learning for Grid Resilience Assessment'.
Presenter, 04.2023, Postdam, Germany, Potsdam Institute for Climate Impact Research, Panel Session on 'Machine Learning Supported High RES Penetrated Power Systems -- Actions to Defend Extreme Weather'.
Co-chair, 07.2022, Denver, USA, IEEE PES General Meeting, Panel Session on 'Machine Learning for Power System Decision-making'.
Members, IEEE Power and Energy Society, IEEE working group on Machine Learning and Power Systems, IEEE working group on Power System Restoration.
Contact information
Email: zhaoj6@tcd.ie
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