Yuexin Bian (边玥心)
My research interests broadly lie in optimization and control, with applications in power system. Before starting my graduate education at UC San Diego, I completed my undergraduate degree in Electrical Engineering from Zhejiang University, China.
News: Will present our work ``Predicting Strategic Energy Storage Behaviors’’ at FERC, 2023.
News: Invited to present our work ``Demand response model identification and behavior forecast with OptNet: A gradient-based approach’’ at Informs, 2022.
My research focuses on optimization and control, with applications in power system.
I am interested in combining machine learning and optimization to learn the agent aims to solve an unknown optimization problem or forecast the time-series data that is the solution of an optimization problem.
I am also interested to combinining neural networks and control theory to propose control algorithms with high efficiency and optimality.
Highlighted Research and Publications
1. Strategic Demand response Identification
Demand response model identification and behavior forecast with OptNet: A gradient-based approach
Yuexin Bian, Ningkun Zheng, Yang Zheng, Bolun Xu, Yuanyuan Shi
Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 2022
[PDF] / [Code]
2. Optimization and control
Carbon-Aware EV Charging
Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen
IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2022
[PDF] / [Code]
3. Optimization and Control for buildings