3 papers
math.OC2026
Scenario Reduction for Two-Stage Stochastic Mixed-Integer Programs
Yannick Werner, Juan Miguel Morales, Salvador Pineda +2
Two-stage stochastic mixed-integer programs are important tools for decision-making under uncertainty. Representing the uncertainty with many scenarios, however, can make them chal…
math.OC2025
Scenario Reduction for the Two-Stage Stochastic Unit Commitment Problem
Yannick Werner, Juan Miguel Morales, Salvador Pineda +2
The two-stage stochastic unit commitment problem has become an important tool to support decision-making under uncertainty in power systems. Representing the uncertainty by a large…
eess.SY2025
Error Bounds for Radial Network Topology Learning from Quantized Measurements
Samuel Talkington, Aditya Rangarajan, Pedro A. de Alcântara +3
We probabilistically bound the error of a solution to a radial network topology learning problem where both connectivity and line parameters are estimated. In our model, data error…