About Me

Hi everyone! I am Chenbei Lu, a final-year Ph.D. candidate at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. I major in computer science, and I am very fortunate to be advised by Prof. Chenye Wu. Before that, I obtained a bachelor's degree in computer software engineering from Huazhong University of Science & Technology (HUST). I was a visiting student at the Computing + Mathematical Sciences (CMS) Department, Caltech from Aug. 2023 to Mar. 2024, advised by Prof. Adam Wierman.

Research Interests

My research interests are situated at CS/AI + Energy Systems, concentrating on formulating and advancing theories and algorithms to optimize power system operations and planning, ensuring reliability, economic efficiency, and lower carbon emissions. Technically, I employ and develop tools from Optimization, Reinforcement Learning, Game Theory and Machine Learning to tackle these challenges. For collaboration or further discussions, please feel free to reach out to me at lcb20 AT mails.tsinghua.edu.cn!

News

  • *Jan. 1, 2024, our work 'Self-Improving Online Storage Control for Stable Wind Power Commitment' has been accepted by IEEE Transactions on Smart Grid!
  • *Sep. 25, 2023, our work 'Manipulation-Proof Virtual Bidding Mechanism Design' has been accepted by IEEE Transactions on Energy Market, Policy and Regulation!
  • *Sep. 2, 2023, our work 'Privacy Preserving User Energy Consumption Profiling: From Theory to Application' has been accepted by IEEE Transactions on Smart Grid!
  • *Aug. 27, 2023, I begin the exciting visit to the Computing + Mathematical Sciences (CMS) Department, Caltech, for six months, where I work with Prof. Adam Wierman and a lot of interesting people!
  • *Apr. 7, 2023, our work 'Sample-Adaptive Robust Economic Dispatch with Statistical Guarantees' has been accepted by IEEE Transactions on Power Systems!
  • *Feb. 6, 2023, our work 'High-Resolution Probabilistic Load Forecasting: A Learning Ensemble Approach' has been accepted by The Journal of the Franklin Institute!
  • *Jan. 17, 2023, our work 'Robust Scheduling of Thermostatically Controlled Loads with Statistically Feasible Guarantees' has been accepted by IEEE Transactions on Smart Grid!

Academic Service

TPC Member: SmartGridComm 2022


Reviewer: Conference: ACC, SmartGridComm, PSCC, SEST Journal: IEEE Transactions on Smart Grid, International Journal of Electrical Power & Energy Systems, IEEE Systems Journal, Electric Power Systems Research
  • “Self-Improving Online Storage Control for Stable Wind Power Commitment“
    Chenbei Lu, Hongyu Yi, Jiahao Zhang, Chenye Wu
    IEEE Transactions on Smart Grid. [Link]
  • “Manipulation-Proof Virtual Bidding Mechanism Design“
    Chenbei Lu, Jinhao Liang, Nan Gu, Haoxiang Wang, Chenye Wu
    IEEE Transactions on Energy Market, Policy and Regulation. [Link]
  • “Privacy Preserving User Energy Consumption Profiling: From Theory to Application“
    Chenbei Lu, Jingshi Cui, Haoxiang Wang, Hongyu Yi, Chenye Wu
    IEEE Transactions on Smart Grid. [Link]
  • “Sample-Adaptive Robust Economic Dispatch with Statistical Guarantees”
    Chenbei Lu, Nan Gu, Wenqian Jiang, Chenye Wu
    IEEE Transactions on Power Systems. [Link]
  • “Deadline Differentiated Dynamic EV Charging Price Menu Design”
    Chenbei Lu, Jiaman Wu, Jingshi Cui, Yanyan Xu, Chenye Wu, Marta C. Gonzalez
    IEEE Transactions on Smart Grid. [Link]
  • “Effective End-to-End Learning Framework for Economic Dispatch”
    Chenbei Lu, Wenqian Jiang, Chenye Wu
    IEEE Transactions on Network Science and Engineering. [Link]
  • “Privacy-Preserving Decentralized Price Coordination for EV Charging Stations”
    Chenbei Lu, Jiaman Wu, Chenye Wu
    The 22th Power Systems Computation Conference (PSCC 2022) and Electric Power Systems Research. [Link]