A neural architecture with a topology-dependent latent shift generalizes to unseen combinations of grid reconfigurations better than a standard residual network.
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LEAP nets for power grid perturbations
A neural architecture with a topology-dependent latent shift generalizes to unseen combinations of grid reconfigurations better than a standard residual network.