Yi Wang
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I am currently an Assistant Professor of the Department of Electrical and Electronic Engineering, The University of Hong Kong. |
My research interests include data analytics in the smart grid, energy forecasting, multi-energy systems, Internet-of-things, cyber-physical-social energy systems.
Find me on: Google Scholar, ORCiD, and ResearchGate. Here is my CV.
Contact
Address:
Room 604, Chow Yei Ching Building, Pokfulam Road, Hong Kong
Email:
yiwang@eee.hku.hk
Telephone:
(852)3917-8095
If you are interested in a Ph.D./Postdoc position and have a solid background in power systems, optimization theory, machine learning, or wireless communication, please send me your latest CV, BSc transcript (with ranking), and publications (if any) as PDFs (yiwang@eee.hku.hk). Potential candidates are usually contacted in one week. Otherwise, your application is not being considered.
Normally, we only consider Ph.D. applicants who have obtained or are expected to obtain a 1st class honors Bachelor's degree from a top university (Project 985 or Top 80 in QS ranking) based on the latest university ranking with a high GPA (e.g., 3.7 out of 4 or equivalent).
GitHub repositories for EDL@HKU have been established. You are welcome to refer to the code and data of our works here.
Explore our new data sharing website at here to access a wealth of public datasets and collaborate with experts in the energy sector. Join us in shaping the future of energy systems through data-driven insights and collaboration.
We are excited to announce a Special Issue on “Trustworthy Machine Learning for Power and Energy Systems” in Applied Energy. This issue focuses on advancing reliable AI/ML solutions for critical energy infrastructure, addressing challenges like interpretability, robustness, and security. Submissions are open until November 30, 2025. Learn more and submit your work here.
Book Release
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We are pleased to announce the release of our book, titled “Smart Meter Data Analytics” published by Springer. |
Feature of the book:
First book of its kind to introduce electrical smart meter data analytics in the power systems;
In-depth analysis and modeling of electricity consumer behavior from data-driven perspective;
Various applications and comprehensive case studies.
Updates
May. 2025, I was awarded the 2025 IEEE PES Outstanding Young Engineer Award by IEEE Power & Energy Society.
Apr. 2025, I was awarded the Young Scientist Award by 2025 IEEE International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE 2025).
Jan. 2025, I was invited to join the IEEE PES Long Range Planning Subcommittee on Emerging Technologies.
Dec. 2024, I was recognized as the Outstanding Associate Editor of IEEE Transactions on Smart Grid in the year of 2024.
Nov. 2024, Our special issue on “Al to Enhance Power Systems: Modeling, Operation, and Control”, co-edited with Prof. Chongqing Kang and Dr. Ricardo Jorge Bessa, was published in IEEE Power and Energy Magazine.
Oct. 2024, Our paper titled “Introducing Edge Intelligence to Smart Meters via Federated Split Learning” was published by Nature Communications.
Sep. 2024, I was recognized as one of HKU Scholars in the Top 1% worldwide three consecutive years (starting from 2022).
Sep. 2024, I was listed in the database of the top 2% cited researchers three consecutive years (starting from 2022). The list is compiled by Professor John P. A. Ioannidis and his team from Stanford University and is available online here.
Sep. 2024, I was awarded the Outstanding Young Science and Technology Talent Award in Power Engineering by Chinese Society for Electrical Engineering.
Aug. 2024, Our project titled “Theory and Methodologies of Interactive Forecasting of Load in New Power Systems” was granted by National Natural Science Foundation of China (NSFC)-General Program, as PI.
June 2024, Our project titled “”Trustworthy Probabilisctic Load Forecasting in Local Energy Systems" was granted by Research Grants Council (RGC), Hong Kong-General Reseach Fund (GRF), as PI.
June 2024, I was awarded the Best Teacher Award for the academic year 2022-2023 by Faculty Teaching and Learning Quality Committee.
Jan. 2024, I was appointed as an associate editor of Journal of Modern Power Systems and Clean Energy.
Jan. 2024, Our project titled “Electrification and Decarbonization: Multi-port Wireless Dock and Charge for Waterborne Transportation” was granted by Research Grants Council (RGC), Hong Kong-Young Collaborative Research Grant, as Co-PI.
Dec. 2023, Our project titled “Operational Risk Management of Low-carbon Urban Energy Systems under Digital Transformation” was granted by Guang-dong Basic and Applied Basic Research Foundation-General Research Fund, as PI.
Dec. 2023, Our paper titled “Electricity Consumer Characteristics Identification: A Federated learning Approach” received IEEE Transactions on Smart Grid Top-5 Papers Award.
Nov. 2023, I was recognized as an Outstanding Young Energy Science and Technology Worker by the China Energy Research Society.
Oct. 2023, I was selected for the 9th China Association for Science and Technology's “Young Talent Promotion Project”.
August 2023, I was offered an association with Imperial College London as Honorary Lecturer in the Department of Electrical and Electronic Engineering.
June 2023, Our project titled “Privacy-Preserving Data-Driven Operation of a Local Energy Community” was granted by Research Grants Council (RGC) of Hong Kong-Early Career Scheme (ECS), as PI.
May. 2023, Our paper titled “Trading and Valuation of Day-Ahead Load Forecasting in an Ensemble Model” received 2023 Ralph Lee Prize Paper Award.
May 2023, We signed a research contract with DAMO Academy, Alibaba Group for “Electrical Load Forecasting Under Complex Scenarios”.
Apr. 2023, the kick-off meeting of the China-Belgium joint project was successfully held.
Feb 2023, Our project titled “Low-carbon Operation of Green Buildings and Urban Energy Systems in Joint Electricity and Carbon Markets” was granted by the Ministry of Science and Technology of China.