Our approach involves modeling the power system as a weighted graph and utilizing a deep spectral graph convolution network to extract powerful spatial patterns from the input graph measurements. A ...

We present a general learning framework which combine a deep convolutional GANs network with a variational autoencoder network. To begin with, we found a solution which could solve the problem that ...