Optimal Scheduling Scheme and Battery configuration for Microgrids with Dual Battery Energy Storage Systems. - Zhirui Liang; Zhengxiang Song; Jianhua Wang; Guogang Zhang; Xian Wang (IAS, 2019)

Inertia Pricing in Stochastic Electricity Markets. - Zhirui Liang; Robert Mieth; Yury Dvorkin (CoRR, 2021)

Operation-Adversarial Scenario Generation. - Zhirui Liang; Robert Mieth; Yury Dvorkin (CoRR, 2021)

Weather-Driven Flexibility Reserve Procurement. - Zhirui Liang; Robert Mieth; Yury Dvorkin; Miguel A. Ortega-Vazquez (CoRR, 2022)

Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets. - Zhirui Liang; Yury Dvorkin (e-Energy, 2023)

Data-Driven Inverse Optimization for Offer Price Recovery. - Zhirui Liang; Yury Dvorkin (CoRR, 2023)

A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. - Robert Ferrando; Laurent Pagnier; Robert Mieth; Zhirui Liang; Yury Dvorkin; Daniel Bienstock; Michael Chertkov (CoRR, 2023)

Multi-Objective Transmission Expansion: An Offshore Wind Power Integration Case Study. - Saroj Khanal; Christoph Graf; Zhirui Liang; Yury Dvorkin; Burçin Ünel (CoRR, 2023)

Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation. - Zhirui Liang; Qi Li; Joshua Comden; Andrey Bernstein; Yury Dvorkin (CDC, 2024)

Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization. - Qi Li; Zhirui Liang; Andrey Bernstein; Yury Dvorkin (IEEE Control. Syst. Lett., 2024)

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach. - Zhirui Liang; Qi Li; Anqi Liu; Yury Dvorkin (CISS, 2025)