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eess.SY2025
Counterfactual optimization for fault prevention in complex wind energy systems
Emilio Carrizosa, Martina Fischetti, Roshell Haaker +1
Machine Learning models are increasingly used in businesses to detect faults and anomalies in complex systems. In this work, we take this approach a step further: beyond merely det…
eess.SY2024
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
Salvador Pineda, Juan Pérez-Ruiz, Juan Miguel Morales
The AC optimal power flow (AC-OPF) problem is essential for power system operations, but its non-convex nature makes it challenging to solve. A widely used simplification is the li…