Climate and Energy Informatics Lab
Hello
I earned my PhD in Electrical and Computer Engineering from Temple University in December 2024, where I was advised by Prof. Liang Du. I am currently a Postdoctoral Researcher working with Prof. Weiqi Hua at the University of Birmingham.
My Story
Education
Jan 2021 – Dec 2024, PhD in Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA
Aug 2018 – May 2020, Master of Science in Electrical Engineering, George Washington University, Washington D.C., USA
Aug 2014 – May 2018, Bachelor of Engineering in Automation, Wuhan University of Technology, Wuhan, Hubei, China
Work Experience
Nov 2024 – Present, Postdoctoral Research Associate, University of Birmingham, Birmingham, England, UK
Jun 2024 – Aug 2024, Intern, Siemens, Minnetonka, MN, USA
Jun 2023 – Apr 2024, Intern, PJM Interconnection, Audubon, PA, USA
Jan 2022 – Dec 2024, Graduate Research Assistant, Temple University, Philadelphia, PA, USA
Jan 2021 – Dec 2021, Graduate Teaching Assistant, Temple University, Philadelphia, PA, USA
Reviewer for:
IET Smart Grid, IEEE Transactions on Transportation Electrification, IEEE VPPC, IEEE CDC
Research Area:
AI application on power systems, Large Scale Renewable Energy Integration, Transmission Scale Load Disaggregation and Prediction
Selected Publication
Z. Zhao, D. Moscovitz, S. Wang, L. Du, X. Fan, ''Deep Factorization Machine Learning for Disaggregation of Transmission Load Profiles with High Penetration of Behind-The-Meter Solar'', IEEE Transactions on Industry Applications, In Press
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D. Moscovitz, Z. Zhao, L. Du, and X. Fan, ''Bilevel Nodal Behind-the-meter Solar Disaggregation Under Unexpected Extreme Weather Conditions,” 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA, 2024, pp. 1-5, doi: 10.1109/PESGM51994.2024.10689080.
Z. Zhao, D. Moscovitz, L. Du, and X. Fan “Factorization Machine Learning for Disaggregation of Transmission Load Profiles with High Penetration of Behind-the-Meter Solar,” IEEE Energy Conversion Congress & Expo. (ECCE 2023), Nashville, TN, October 29- Nov 2, 2023
Z. Zhao, Y. Chen, and L. Du, “Modeling and Classification of EV Charging Profiles Utilizing Topological Data Analysis”, IEEE Transportation Electrification Conf. & Expo, (ITEC 2023), Detroit, MI, June 19-21, 2023
D. Moscovitz, Z. Zhao, L. Du, and X. Fan, “Semi-Supervised, Non-Intrusive Disaggregation of Nodal Load Profiles with Significant Behind-the-Meter Solar Generation,” in IEEE Transactions on Power Systems, doi:10.1109/TPWRS.2023.3334995.