Bo Zhou
(Last updated 2023-01-26)
Hi, I'm Bo Zhou! Welcome to my personal website!
I joined the Department of Industrial and Operations Engineering at the University of Michigan at Ann Arbor
as a Postdoctoral Research Fellow in September 2022, working with Prof. Siqian Shen.
I completed my Ph.D. in Electrical Engineering at Huazhong University and Science and Technology in June 2022,
where I was supervised by Prof. Jinyu Wen at the Smart Grid Operation & Control (SGO) Lab.
My research interests focus on the mathematical optimization and learning techniques for flexibility and resilience of power/energy systems under uncertainty, which is critical in promoting the sustainable and low-carbon transition of the energy sector.
Toward this target, I think theory and applications of energy storage will be the most critical enabling technologies.
Bio:
Employment
Research Fellow, Department of Industrial and Operations Engineering, University of Michigan, September 2022 - present
Education
Ph.D., June 2022, School of Electrical and Electronic Engineering, Huazhong University and Science and Technology
B.S., June 2017, School of Electrical and Electronic Engineering, Huazhong University and Science and Technology
Research Interests
Theory: Continuous-time optimization, robust optimization, bilevel optimization, machine learning
Application: Power/energy system, flexibility & resilience, energy storage, power market, energy bank
Honors and Awards
2022 Excellent Graduate, Huazhong University of Science and Technology
2020 National Scholarship for Postgraduate, Ministry of Education, China
Services
Reviewer: INFORMS Journal on Computing,
IISE Transactions,
IEEE Transactions on Smart Grid,
IEEE Transactions on Power System,
Applied Energy,
IET Generation, Transmission & Distribution,
International Journal of Electrical and Computer Engineering Systems,
IEEE Power & Energy Society General Meeting 2020, 2023
News:
Jan. 26, 2023, our new paper “Learning to Solve Bilevel Programs with Binary Tender: Input Supermodular Neural Network” is submitted to International Conference on Machine Learning 2023.
Dec. 22, 2022, our new paper “Frequency-Secured Unit Commitment: Tight Approximation using Bernstein Polynomials” is submitted to IEEE Transactions on Power Systems.
Oct. 31, 2022, our new paper “Differential-Algebraic Equation-Constrained Frequency-Secured Stochastic Unit Commitment” is submitted to IEEE PES General Meeting 2023.
Oct. 15-19, 2022, we are participating in the 2022 INFORMS Annual Meeting.
Oct. 16, 2022, our paper “Storage right-based hybrid discrete-time and continuous-time flexibility trading between energy storage station and renewable power plants” has been accepted by IEEE Transactions on Sustainable Energy!
Sep. 30, 2022, I joined the INFORMS ENRE section and optimization society as a member.
Sep. 19, 2022, I have arrived at UMich! Look forward to the new time!
June 6, 2022, our paper “Partial-dimensional correlation-aided convex-hull uncertainty set for robust unit commitment” has been accepted by IEEE Transactions on Power Systems!
May 31, 2022, my personal website is built today. Welcome!
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