1 citations · 1 across the 1 of their papers we have counts for
2 papers
math.OC2026
Self-Supervised Tuning of Low-Fidelity Optimization Models via High-Fidelity Feedback
Gonzalo E. Constante-Flores, André H. Quisaguano-Paredes, Asha Ramanujam +2
Low-fidelity (LF) optimization models are widely used in large-scale operations because they can be solved efficiently and reliably, but they often exhibit systematic errors relati…
math.OC2020★ 1 cited
Sensitivity-Based Vulnerability Assessment of State Estimation
Gonzalo E. Constante-Flores, Antonio J. Conejo, Jiankang Wang
We propose a technique to assess the vulnerability of the power system state estimator. We aim at identifying measurements that have a high potential of being the target of false d…