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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…