Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning

Kursat Rasim Mestav, Jaime Luengo-Rozas, Lang Tong

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. T…