The problem of state estimation for unobservable distribution systems is considered. A deep
learning approach to Bayesian state estimation is proposed for real-time applications. The …

A deep neural network is a deep learning algorithm that uses artificial neural networks with
multiple layers. The goal of a deep neural network is to learn a function from observation …