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Time Synchronized State Estimation for Incompletely Observed
  Distribution Systems Using Deep Learning Considering Realistic Measurement
  Noise

Time Synchronized State Estimation for Incompletely Observed Distribution Systems Using Deep Learning Considering Realistic Measurement Noise

9 November 2020
Behrouz Azimian
R. Biswas
A. Pal
L. Tong
ArXivPDFHTML

Papers citing "Time Synchronized State Estimation for Incompletely Observed Distribution Systems Using Deep Learning Considering Realistic Measurement Noise"

2 / 2 papers shown
Title
Bayesian State Estimation for Unobservable Distribution Systems via Deep
  Learning
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning
Kursat Rasim Mestav
Jaime Luengo-Rozas
L. Tong
BDL
54
134
0
07 Nov 2018
Neural Network with Unbounded Activation Functions is Universal
  Approximator
Neural Network with Unbounded Activation Functions is Universal Approximator
Sho Sonoda
Noboru Murata
65
335
0
14 May 2015
1