Talks

  • 20 Apr. 2026, “Electricity Load Forecasting Under Extreme Heat and Cold Waves”, Tsinghua University, Department of Electrical and Electronic Engineering, Beijing, China.

  • 5 Dec. 2025, “Interactive Forecasting and Decision Making in Power Systems”, Shanghai Jiaotong University, Department of Electrical and Electronic Engineering, Shanghai, China.

  • 2 Sep. 2025, “Interactive Forecasting and Decision Making in Power Systems”, China Southern Power Grid, Guangzhou, China.

  • 8 Aug. 2025, “Dynamic Virtual Power Plants (DVPP) Management for Frequency Regulation Service Provision”, Department of Electrical Engineering, Northeast Electric Power University, Jilin, China.

  • 24 Jul. 2025, “Surging Energy Demand and Flexibilities from Data Centers”, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, U.S.A.

  • 21 Jul. 2025, “Lightweight Learning for the Coordination of Behind-the-Meter Energy Resources”, Department of Electrical and Electronic Engineering, New York University, New York, U.S.A.

  • 20 July 2025, “On-Device Intelligence for Smart Meters”, Department of Electrical and Electronic Engineering, Columbia University, New York, U.S.A.

  • 10 Jul. 2025, “Medium-Term and Long-Term Electricity Load Forecasting”, China Energy Investment Corporation, Beijing, China.

  • 2 July 2025, “Probabilistic Energy Forecasting: Methodologies, Implementation, and Applications”, State Grid Corporation of China, Beijing, China.

  • 2 Apr. 2025, “Recent Advances in Load Forecasting”, Oncor Electric Delivery, Texas, U.S.A., online.

  • 15 Nov. 2024, “Introducing Edge Intelligence into Smart Meters”, Department of Electrical and Electronic Engineering, Sichuan University, Chengdu, China.

  • 27 July 2024, “Introducing Edge Intelligence to Smart Meters”, Department of Electrical and Computer Engineering, University of Washington, Seattle, U.S.A.

  • 17 Jun. 2024, “Edge Intelligence for Smart Meter Analytics”, Department of Electrical and Electronic Engineering, Zhejiang University, Hangzhou, China.

  • 8 Jun. 2024, “Learning to Optimize for Urban Energy Systems”, Department of Electrical and Electronic Engineering, TU Delft, Delft, Netherlands.

  • 29 May. 2024, “Introducing Edge Intelligence into Smart Meters via Split Federated Learning”, Department of Electrical and Electronic Engineering, Imperial College London, London, UK.

  • 28 May. 2024, “Closed-loop Learning for Urban Energy Systems”, Department of Engineering Science, University of Oxford, Oxford, UK.

  • 15 May. 2024, “Smart Meter Data Sharing in Energy Systems”, INESC TEC, online.

  • 17 Dec. 2023, “Making Smart Meters Really Smart: A Federated Split Learning Approach for On-device Individual Load Forecasting”, The 7th IEEE Conference on Energy Internet and Energy System Integration (EI^2), Hangzhou, China.

  • 30 Nov. 2023, “Data Valuation in Multi-Energy Systems Based on End-to-End Optimisation”, 2023 IEEE Sustainable Power and Energy Conference (iSPEC), Chongqing, China.

  • 30 Nov. 2023, “Key Technologies for Power and Energy Big Data Sharing”, 2023 IEEE Sustainable Power and Energy Conference (iSPEC), Chongqing, China.

  • 30 Nov. 2023, “Thermodynamic Data-Driven Aggregation for Building Virtual Power Plants”, 2023 IEEE Sustainable Power and Energy Conference (iSPEC), Chongqing, China.

  • 17 Dec. 2021, “Smart Meter Data Sharing in Energy Systems”, CLP Power Hong Kong, Hong Kong.

  • 9 Dec. 2021, “Device Access Control of Wireless Networks for Demand Response in Smart Grids”, 2021 IEEE PowerCon, online.

  • 29 June 2021, “Probabilistic Aggregated Load Forecasting with Fine-grained Smart Meter Data”, 2021 IEEE PowerTech, online.

  • 9 June 2021, “Federated Learning and Its Applications in Smart Grid”, Department of Electrical and Electronic Engineering, Imperial College London, online.

  • 18 May 2021, “Data Analytics for Digitalized Power and Energy Systems”, Department of Electrical and Electronic Engineering, University of Hong Kong, online.

  • 16 May 2021, “Big data analytics for smart power distribution and consumption under digital transformation”, The 16th China Electrotechnical Society Youth Cloud Salon, online.

  • 21 Feb. 2021, “Smart Meter Data-Driven Load Forecasting and Price Design in the Retail Market”, Graduate Seminar, Program in Electrical and Computer Engineering (ECE) , King Abdullah University of Science and Technology (KAUST), online.

  • 3 Feb. 2021, “Data Analytics for Digitalized Power and Energy Systems”, Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, online.

  • 13 Dec. 2020, “Research and Prospects on Probabilistic Load Forecasting (In Chinese)”, Advanced Seminar on Power System Load Forecasting Technology, China Agricultural University, Beijing China.

  • 25 Nov. 2020, “Aggregated load forecasting with fine-grained smart meter data: An ensemble learning approach”, 2020 IEEE Sustainable Power and Energy Conference (iSPEC), Chengdu, China.

  • 2 Jul. 2020, “Modeling Load Forecast Uncertainty Using Generative Adversarial Networks”, 2020 Power Systems Computation Conference (PSCC), online.

  • 21 April 2020, “Data Analytics for Smart Power and Energy Systems”, Department of Electrical Engineering, University of Sydney, online.

  • 28 Jan. 2020, “Data Analytics for Smart Power and Energy Systems”, Department of Electrical and Electronic Engineering, University of Melbourne, online.

  • 20 Nov. 2019, “Data Analytics, Forecasting, and Optimization of Smart Power and Energy Systems”, Department of Industrial Engineering and Management, Peking University, Beijing, China.

  • 8 Aug. 2019, “Combining Probabilistic Load Forecasts”, 2019 IEEE Power & Energy Society General Meeting, Atlanta, US.

  • 6 Aug. 2019, “Personalized Price Design in Retail Market using Smart Meter Data”, 2019 IEEE Power & Energy Society General Meeting, Atlanta, US.

  • 17 Jan. 2019, “Big Data Analytics for Distribution Systems and Electrical Consumers (In Chinese)”, Department of Electrical Engineering, Sichuan University, Chengdu, China.

  • 16 Jan. 2019, “Big Data Analytics for Distribution Systems and Electrical Consumers”, Department of Electrical Engineering, Chongqing University, Chongqing, China.

  • 22 Oct. 2018, “Smart Meter Data Analytics for Consumer Behavior Modeling”, The 2nd IEEE Conference on Energy Internet and Energy System Integration (EI^2), Beijing, China.

  • 6 Sept. 2018, “Matrix Modeling of Multiple Energy Systems and Smart Meter Data Analytics”, Power Systems Laboratory, ETH, Zurich, Switherland.

  • 21 June 2018, “Energy Internet: A Tri-level Perspective (In Chinese)”, Smart Grid Operation & Control Center, Huazhong University of Science and Technology, Wuhan, China.

  • 18 May 2018, “Probabilistic Short-term Load Forecasting”, THU-NTNU Joint Seminar, Tsinghua University, Beijing, China.

  • 12 May 2018, “Big Data Analytics in the Demand Side of Power System”, Tsinghua-IET Electrical Engineering Academic Forum (2018), Tsinghua University Sanbao Academic Base, Beijing, China.

  • 10 Apr. 2018, “Probabilistic Short-Term Load Forecasting”, Renewable Energy Analysis (REAL) Lab, University of Washington, Seattle, US.

  • 6 Aug. 2016, “Residential Smart Meter Data Compression and Pattern Extraction via Non-negative K-SVD”, 2016 IEEE Power & Energy Society General Meeting, Boston, US.

  • 14 May 2016, “Sparse and Redundant Representation-Based Smart Meter Data Compression and Pattern Extraction”, Tsinghua-IET Electrical Engineering Academic Forum (2017), Tsinghua University Sanbao Academic Base, Beijing, China.

  • 15 May 2016, “Data-Driven Insights into Smart Meter Data: A Door to the Energy Internet”, 2016 Next Generation of Young Researchers in Power Systems, University of Manchster, Manchster, UK