Artificial Neural Networks Based Power System State Estimation

Power System ◽

State Estimation ◽

System State ◽

Multilayer artificial neural networks for real time power system state estimation

2015 IEEE Electrical Power and Energy Conference (EPEC) ◽

10.1109/epec.2015.7379974 ◽

2015 ◽

Cited By ~ 5

Author(s):

Hossam Mosbah ◽

Mo. El-Hawary

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

Real Time ◽

System State ◽

Reduced Model for Power System State Estimation Using Artificial Neural Networks

2013 IEEE Green Technologies Conference (GreenTech) ◽

10.1109/greentech.2013.69 ◽

2013 ◽

Cited By ~ 8

Author(s):

Amamihe Onwuachumba ◽

Yunhui Wu ◽

Mohamad Musavi

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

Reduced Model ◽

System State ◽

Data visualisation and identification of anomalies in power system state estimation using artificial neural networks

IEE Proceedings - Generation Transmission and Distribution ◽

10.1049/ip-gtd:19971168 ◽

1997 ◽

Vol 144 (5) ◽

pp. 445 ◽

Cited By ~ 15

Author(s):

J.C.S. Souza ◽

A.M. Leite da Silva ◽

A.P. Alves da Silva

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

System State ◽

Data Visualisation ◽

New Reduced Model approach for Power System State Estimation Using Artificial Neural Networks and Principal Component Analysis

2014 IEEE Electrical Power and Energy Conference ◽

10.1109/epec.2014.40 ◽

2014 ◽

Cited By ~ 3

Author(s):

Amamihe Onwuachumba ◽

Mohamad Musavi

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Power System ◽

State Estimation ◽

Principal Component ◽

Reduced Model ◽

System State ◽

Model Approach

2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON) ◽

Forecasting power system state variables on the basis of dynamic state estimation and artificial neural networks

10.1109/sibircon.2010.5555125 ◽

2010 ◽

Cited By ~ 8

Author(s):

A.M. Glazunova

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

Dynamic State ◽

System State ◽

State Variables ◽

Dynamic State Estimation ◽

Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2019.2926023 ◽

2019 ◽

Vol 67 (15) ◽

pp. 4069-4077 ◽

Cited By ~ 16

Author(s):

Liang Zhang ◽

Gang Wang ◽

Georgios B. Giannakis

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

Real Time ◽

System State ◽

REAL-TIME POWER SYSTEM STATE ESTIMATION VIA DEEP UNROLLED NEURAL NETWORKS

2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2018.8646629 ◽

2018 ◽

Cited By ~ 4

Author(s):

Liang Zhang ◽

Gang Wang ◽

Georgios B. Giannakis

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

Real Time ◽

System State ◽

Power System State Forecasting Using Artificial Neural Networks

Electric Machines & Power Systems ◽

10.1080/073135699269091 ◽

1999 ◽

Vol 27 (6) ◽

pp. 653-664 ◽

Cited By ~ 8

Author(s):

D. M. Vinod Kumar, S. C. Srivastava

Keyword(s):

Neural Networks ◽

Power System ◽

System State ◽

Constrained power system state estimation on recurrent neural networks

2005 IEEE Russia Power Tech ◽

10.1109/ptc.2005.4524438 ◽

2005 ◽

Author(s):

M. V. Khokhlov

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

Recurrent Neural Networks ◽

System State ◽

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ◽

Power System State Estimation Using Gauss-Newton Unrolled Neural Networks with Trainable Priors

10.1109/smartgridcomm47815.2020.9302932 ◽

2020 ◽

Author(s):

Qiuling Yang ◽

Alireza Sadeghi ◽

Gang Wang ◽

Georgios B. Giannakis ◽

Jian Sun

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

System State ◽