16 citations · 16 across the 2 of their papers we have counts for
7 papers
Wasserstein Two-Sided Chance Constraints with An Application to Optimal Power Flow
Haoming Shen, Ruiwei Jiang
As a natural approach to modeling system safety conditions, chance constraint (CC) seeks to satisfy a set of uncertain inequalities individually or jointly with high probability. A…
Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls
Ruiwei Jiang, Minseok Ryu, Guanglin Xu
We study a single-server appointment scheduling problem with a fixed sequence of appointments, for which we must determine the arrival time for each appointment. We specifically ex…
Distributionally Robust Partially Observable Markov Decision Process with Moment-based Ambiguity
Hideaki Nakao, Ruiwei Jiang, Siqian Shen
We consider a distributionally robust Partially Observable Markov Decision Process (DR-POMDP), where the distribution of the transition-observation probabilities is unknown at the…
The Value of Including Unimodality Information in Distributionally Robust Optimal Power Flow
Bowen Li, Ruiwei Jiang, Johanna L. Mathieu
To manage renewable generation and load consumption uncertainty, chance-constrained optimal power flow (OPF) formulations and various solution methodologies have been proposed. How…
Distributionally Robust Chance Constrained Optimal Power Flow Assuming Unimodal Distributions with Misspecified Modes
Bowen Li, Ruiwei Jiang, Johanna L. Mathieu
Chance constrained optimal power flow (CC-OPF) formulations have been proposed to minimize operational costs while controlling the risk arising from uncertainties like renewable ge…
Distributionally Robust Distribution Network Configuration Under Random Contingency
Sadra Babaei, Ruiwei Jiang, Chaoyue Zhao
Topology design is a critical task for the reliability, economic operation, and resilience of distribution systems. This paper proposes a distributionally robust optimization (DRO)…