Research
Optimization and learning over networks
Network topology control under uncertainty
Publications
Y. Zhou, H. Zhu, and G. A. Hanasusanto, “Distributionally Robust Chance-Constrained Optimal Transmission Switching for Renewable Integration,” 2022 IEEE Transactions on Sustainable Energy
Y. Zhou, J. Park, and H. Zhu, Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations,” 2022 IEEE PES General Meeting
Y. Zhou, A. S. Nair, D Ganger, A. Tripathi, C. Baone, and H. Zhu , “Appliance Level Short-term Load Forecasting via Recurrent Neural Network,” 2022 IEEE PES General Meeting
Y. Zhou and H. Zhu, “Efficient Identification of Bus Split Events Using Synchrophasor Data,” 2021 IEEE Transactions on Power Systems
Y. Zhou, A. S. Zamzam, A. Bernstein, and H. Zhu, “Substation-Level Grid Topology Optimization Using Bus Splitting,” 2021 American Control Conference
Y. Zhou, H. Zhu, and G. A. Hanasusanto, “Transmission Switching Under Wind Uncertainty Using Linear Decision Rules,” 2020 IEEE PES General Meeting
Y. Zhou and H. Zhu, "Bus Split Sensitivity Analysis for Enhanced Security in Power System Operations," 2019 IEEE North American Power Symposium (Best Paper Award, 1st place)
C. Yuan, Y. Zhou, G. Liu, R. Dai, Y. Lu, and Z. Wang, “WLS Fast Decoupled State Estimation based on Graph Computing,” 2019 IEEE Transactions on Smart Grid
Y. Zhou, J. Cisneros-Saldana, and L. Xie, "False Analog Data Injection Attack Towards Topology Errors: Formulation and Feasibility Analysis," 2018 IEEE PES General Meeting
C. Yuan, Y. Zhou, G. Zhang, G. Liu, R. Dai, X. Chen, and Z. Wang, "Exploration of Graph Computing in Power System State Estimation," 2018 IEEE PES General Meeting
Y. Zhou and L. Xie, "Detection of Bad Data in Multi-area State Estimation," 2017 IEEE Texas Power and Energy Conference (Best Paper Award, 1st place)
B. Xia, H. Ming, K. Lee, Y. Li, Y. Zhou, S. Bansal, S. Shakkottai, and L. Xie, "EnergyCoupon: A Case Study on Incentive-based Demand Response in Smart Grid," 2017 ACM e-Energy Conference (Best Paper Finalist)
Book Recommendations
'Numerical Optimization' (2006) by J. Nocedal and S.J. Wright
'Algebraic Graph Theory' (2001) by C. Godsil and G. Royle
'Lectures on Stochastic Programming: Modeling and Theory' (2009) by A. Shapiro, D. Dentcheva, and A. Ruszczyński
'Statistical Inference' (2001) by G. Casella and R.L. Berger
'Parallel and Distributed Computation: Numerical Methods' (1989) by D.P. Bertsekas and J.N. Tsitsiklis