3 papers
eess.SY2025
Restoring Feasibility in Power Grid Optimization: A Counterfactual ML Approach
Mostafa Mohammadian, Anna Van Boven, Kyri Baker
Electric power grids are essential components of modern life, delivering reliable power to end-users while adhering to a multitude of engineering constraints and requirements. In g…
eess.SY2024
Learning to Optimize meets Neural-ODE: Real-Time, Stability-Constrained AC OPF
Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker +1
Recent developments in applying machine learning to address Alternating Current Optimal Power Flow (AC OPF) problems have demonstrated significant potential in providing close to o…
cs.LG2024
Learning To Solve Differential Equation Constrained Optimization Problems
Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker +1
Differential equations (DE) constrained optimization plays a critical role in numerous scientific and engineering fields, including energy systems, aerospace engineering, ecology,…