Bo Zhou
(Last updated 2024-07)
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
and Prof. Ruiwei Jiang.
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
News:
Jul. 24, 2024, our paper “Distributionally Robust Resource Allocation with Trust-aided Parametric Information Fusion” was accepted for 2024 Conference on Decision and Control.
Jul. 24, 2024, our paper “Sequential Charging Station Location Optimization under Uncertain Charging Behavior and User Growth” was accepted for 2024 Conference on Decision and Control.
May 7 - 11, we participated in the 12th International Conference on Learning Representations at Vienna, Austria.
Jan. 16, 2024, our paper “Learning to Solve Bilevel Programs with Binary Tender” was accepted for the 12th International Conference on Learning Representations (ICLR 2024), one of the TOP conferences in machine learning.
Jan. 8, 2024, our new paper “Multi-Week Continuous-Time Scheduling of Integrated Electricity and Natural Gas System Against Long-Lasting Stressful Weather” was submitted.
Nov. 19, 2023, our paper “Frequency Stability-Constrained Unit Commitment: Tight Approximation using Bernstein Polynomials” was accepted by IEEE Transactions on Power Systems.
Oct. 15 - 18, 2023, we participated in the 2023 INFORMS Annual Meeting at Phoenix.
Sep. 20, 2023, our paper “Preliminary study on an energy storage grid for future power system in China” was selected as one of Frontrunner 5000 (F5000) top articles in outstanding S&T journals of China.
Jul. 16 - Jul. 20, 2023, we participated in the 2023 IEEE Power & Energy Society General Meeting at Orlando.
May 31 - Jun. 3, 2023, we participated in the SIAM Conference on Optimization at Seattle.
Apr. 19, 2023, our paper “Function-space optimization to coordinate multi-energy storage across the integrated electricity and natural gas system” was accepted by International Journal of Electrical Power & Energy System.
Feb. 14, 2023, our paper “Differential-Algebraic Equation-Constrained Frequency-Secured Stochastic Unit Commitment” was accepted for IEEE PES General Meeting 2023.
Oct. 15 - 19, 2022, we participated in the 2022 INFORMS Annual Meeting at Indianapolis.
Oct. 16, 2022, our paper “Storage right-based hybrid discrete-time and continuous-time flexibility trading between energy storage station and renewable power plants” was accepted by IEEE Transactions on Sustainable Energy!
June 6, 2022, our paper “Partial-dimensional correlation-aided convex-hull uncertainty set for robust unit commitment” was accepted by IEEE Transactions on Power Systems!
May 31, 2022, my personal website was built. Welcome!
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