3 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
Electricity Market-Clearing With Extreme Events
Tomas Tapia, Zhirui Liang, Charalambos Konstantinou +1
Extreme events jeopardize power network operations, causing beyond-design failures and massive supply interruptions. Existing market designs fail to internalize and systematically…
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…