3 citations · 4 across the 13 of their papers we have counts for
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eess.SY2024
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach
Zhirui Liang, Qi Li, Anqi Liu +1
This paper presents an end-to-end framework for calibrating wind power forecast models to minimize operational costs in two-stage power markets, where the first stage involves a di…
eess.SY2024
Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation
Zhirui Liang, Qi Li, Joshua Comden +2
Information asymmetry between the Distribution System Operator (DSO) and Distributed Energy Resource Aggregators (DERAs) obstructs designing effective incentives for voltage regula…
math.OC2024
Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization
Qi Li, Zhirui Liang, Andrey Bernstein +1
This paper introduces Inverse Distributionally Robust Optimization (I-DRO) as a method to infer the conservativeness level of a decision-maker, represented by the size of a Wassers…