1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2024
Sample Complexity of Chance Constrained Optimization in Dynamic Environment
Apurv Shukla, Qian Zhang, Le Xie
We study the scenario approach for solving chance-constrained optimization in time-coupled dynamic environments. Scenario generation methods approximate the true feasible region fr…
math.OC2024★ 1 cited
Efficient Scenario Generation for Chance-constrained Economic Dispatch Considering Ambient Wind Conditions
Qian Zhang, Apurv Shukla, Le Xie
Scenario generation is an effective data-driven method for solving chance-constrained optimization while ensuring desired risk guarantees with a finite number of samples. Crucial c…