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math.OC2026
Conformal-DRO: Distributionally Robust Optimization with Conformalized Ambiguity Set
Luhao Zhang, Shixiang Zhu
Data-driven distributionally robust optimization (DRO) typically treats the conditional outcome law as fixed and uses ambiguity sets to capture estimation error. This paper studies…
math.OC2026
Large-Scale Resilience Planning for Wildfire-Prone Electricity-System via Adaptive Robust Optimization
Shuyi Chen, Shixiang Zhu, Ramteen Sioshansi
Wildfire risk poses a growing challenge for electric utilities, as powerline failures can ignite wildfires while large fires can disrupt grid operations. Utilities increasingly rel…