Yi Wang


I am currently an Assistant Professor of the Department of Electrical and Electronic Engineering, The University of Hong Kong.

I received my Bachelor's degree in electrical engineering from Huazhong University of Science and Technology (HUST) in June 2014, and my Ph.D. degree in electrical engineering from Tsinghua University (supervised by Prof. Chongqing Kang) in Jan. 2019. From March 2017 to April 2018, I was an exchange student researcher at the University of Washington (supervised by Prof. Daniel Kirschen). From Feb. 2019 to Aug. 2021, I served as a Postdoctoral Researcher in the Power Systems Laboratory, ETH Zurich (supervised by Prof. Gabriela Hug).

I currently serve as the secretary of IEEE Customer Systems & Smart Buildings Subcommittee, the secretary of IEEE PES Working Group on Energy Forecasting and Analytics, and the secretary of CIGRE Working Group on Application of 5G Technology to Smart Grids. I also serve as the Associate Editor for IEEE Transactions on Smart Grid, IEEE Systems Journal, and IET Renewable Power Generation.

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.


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./Research Assistant/Postdoc position and have a solid background in power systems, optimization theory, machine learning, or wireless communication, please send your latest CV, BSc transcript (with ranking), and publications (if any) all as pdfs to me (yiwang@eee.hku.hk). Usually, potential candidates will be contacted in one week. Otherwise, your application is not being considered.

We are running a Joint Special Issue on “Peak Load Forecasting and Applications” in IET Smart Grid. The final submission deadline is 1 September 2023. Welcome to submit your paper to the special issue.

Book Release


We are pleased to announce the release of our book, titled “Smart Meter Data Analytics” published by Springer.

This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporate them into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scales. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.

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.


  • 1 August 2023, I was offered an association with Imperial College London as Honorary Lecturer in the Department of Electrical and Electronic Engineering.

  • 30 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.

  • 2 May. 2023, Our paper titled “Trading and Valuation of Day-Ahead Load Forecasting in an Ensemble Model” received 2023 Ralph Lee Prize Paper Award.

  • 3 Apr. 2023, the kick-off meeting of the China-Belgium joint project was successfully held.

  • 19 Nov. 2022, Our paper titled “Federated Fuzzy K-means for Privacy-Preserving Behavior Analysis in Smart Grids” was accepted by Applied Energy.

  • 28 Oct. 2022, I was recognized as one of the HKU Scholars in the Top 1% worldwide in 2022.

  • 10 Oct. 2022, I was listed in the database of the top 2% cited researchers. The list is compiled by Professor John P. A. Ioannidis and his team from Stanford University and is available online here.

  • 21 Sep. 2022, Our proposal for establishing IEEE Task Force on “Data Sharing in Energy Systems” was approval by the IEEE Analytic Methods for Power Systems Committee.

  • 17 Sep. 2022, Our paper titled “Distributed Optimization for Integrated Energy Systems with Secure Multi-Party Computation” was accepted by IEEE Internet of Things Journal.

  • 18 Aug. 2022, I was appointed as an associate editor of iEnergy.

  • 16 July 2022, Our paper titled “A Cyber-Physical-Social Perspective on Future Smart Distribution Systems” was accepted by Proceedings of the IEEE.

  • 14 July 2022, Our paper titled “Valuation of Load Forecasts in an Ensemble Model” got the Best Paper Award in IEEE I&CPS Asia 2022.

  • 10 July 2022, Our paper titled “Improving Distributed PV Integration with Dynamic Thermal Rating of Power Distribution Equipment” was accepted by iScience.

  • 30 June 2022, Our paper titled “Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities” was accepted by IEEE Transactions on Smart Grid.

  • 8 May 2022, We signed a research contract with DAMO Academy, Alibaba Group for “Probabilistic Electrical Load Forecasting at System and Bus Levels”.

  • 4 March 2022, We are runing a Joint Special Issue on “Data Openness and Sharing for Low Carbon Energy Systems” in Applied Energy and Advances in Applied Energy. The final submission deadline is 31 January 2023. Welcome to submit your paper to the special issue.

  • 19 Feb 2022, Our paper titled “Data-Driven Multi-Resolution Probabilistic Energy and Reserve Bidding of Wind Power” was accepted by IEEE Transactions on Power Systems.

  • 8 Feb. 2022, Our paper titled “Personalized Federated Learning for Individual Consumer Load Forecasting” was accepted by CSEE Journal of Power and Energy Systems.

  • 7 Feb. 2022, I was appointed as an Young Editorial Board Member of Advances in Applied Energy.

  • 31 Jan. 2022, Our paper titled “Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges” was recognized as IEEE Transactions on Smart Grid Best Paper (Ranking 1st).

  • 27 Jan. 2022, Jean-Francois and I got the IIF-SAS Award for the project entitled “Privacy-Preserving Renewable Energy Probabilistic Forecasting”.

  • 25 Jan. 2022, Our project titled “Development of Integrated Platform for Smart Meter Big Data Analytics and Its Industrial Applications” got the First Prize for Progress in Science and Technology, the China Electrotechnical Society (CES).

  • 24 Jan. 2022, Our paper titled “Federated Clustering for Electricity Consumption Pattern Extraction” was accepted by IEEE Transactions on Smart Grid.

  • 8 Jan. 2022, I was appointed as an associate editor of IEEE Transactions on Smart Grid and IEEE Power Engineering Letters.