Nonlinear state estimation (SE), with the goal of estimating complex bus voltages based on all types of measurements available in the power system, is usually solved using the iterative Gauss-Newton ...

Voltage Sag State Estimation (VSSE) based on voltage information collected by monitoring devices at limited nodes in the distribution network can identify weak links in the power grid, evaluate ...

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.

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 ...

Keywords: sensor-less sensing, neural networks, minimally invasive surgery, haptic feedback, force estimation. Citation: Abeywardena S, Yuan Q, Tzemanaki A, Psomopoulou E, Droukas L, Melhuish C and ...

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.