Multilayer artificial neural networks for real time power system state estimation

Power System ◽

State Estimation ◽

Real Time ◽

System State ◽

Artificial Neural Networks Based Power System State Estimation

i-manager’s Journal on Software Engineering ◽

10.26634/jse.9.2.3323 ◽

2014 ◽

Vol 9 (2) ◽

pp. 9-16

Author(s):

Manjula S. Sureban ◽

Shekhappa G. Ankaliki

Keyword(s):

Neural Networks ◽

Power System ◽

State Estimation ◽

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 ◽

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 ◽

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 ◽

Load estimation issues in real-time power system state estimation

2012 IEEE Power and Energy Society General Meeting ◽

10.1109/pesgm.2012.6345039 ◽

2012 ◽

Author(s):

V. Thekkemadom ◽

J. D. Moore ◽

R. P. Sulte ◽

S. Laojavachakul

Keyword(s):

Power System ◽

State Estimation ◽

Real Time ◽

Load Estimation ◽

System State ◽

Power system state estimation considering real-time equivalents of the external networks

2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia) ◽

10.1109/isgt-asia.2013.6698714 ◽

2013 ◽

Cited By ~ 3

Author(s):

K. Dongare ◽

S. Chakrabarti ◽

E. Kyriakides

Keyword(s):

Power System ◽

State Estimation ◽

Real Time ◽

System State ◽

A linear recursive bad data identification method with real-time application to power system state estimation

IEEE Transactions on Power Systems ◽

10.1109/59.207357 ◽

1992 ◽

Vol 7 (3) ◽

pp. 1378-1385 ◽

Cited By ~ 32

Author(s):

B.M. Zhang ◽

S.Y. Wang ◽

N.D. Xiang

Keyword(s):

Power System ◽

State Estimation ◽

Real Time ◽

System State ◽

Identification Method ◽

Bad Data ◽

Real Time Application