Casaprima, Nicholas

Neural Networks Ensembles to Accelerate Power Grid Contingency Analysis

Novel uncertainty quantification approach for machine learning based physics informed graph neural networks capable of quickly computing bulk energy system contingencies from a large search space with tolerance to changing grid topologies.