Realizing complete observability in the three-phase distribution system remains a challenge that hinders the implementation of classic state estimation algorithms. In this paper, a new method, called ...

The problem of state estimation for unobservable three-phase unbalanced distribution systems is considered. ... direct Bayesian state estimation with deep neural networks significantly outperforms ...

Battery State of Charge Estimation in Simulink Using Deep Learning Network. This example shows how to use a feedforward deep learning network inside a Simulink® model to predict the state of charge ...

Using their FNN, Fu, Teng and Dai generated a variational ansatz, which is a flexible mathematical structure that can be optimized to estimate a system's ground state.

An attention-based fermionic neural network (FNN) was developed to determine the ground state of fractional quantum Hall liquids in two-dimensional electron systems under strong magnetic fields.