• Corpus ID: 226277979

Deep learning architectures for inference of AC-OPF solutions

  title={Deep learning architectures for inference of AC-OPF solutions},
  author={Thomas Falconer and Letif Mones},
We present a systematic comparison between neural network (NN) architectures for inference of AC-OPF solutions. Using fully connected NNs as a baseline we demonstrate the efficacy of leveraging network topology in the models by constructing abstract representations of electrical grids in the graph domain, for both convolutional and graph NNs. The performance of the NN architectures is compared for regression (predicting optimal generator set-points) and classification (predicting the active set… 
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