Pattern analysis in power system state estimation

International Journal of Electrical Power and Energy Systems

Volumn 17, Issue 1, 1995, Pages 51-60

  Alves da Silva, A P ^a   Quintana, V H ^b  

^a FEDERAL UNIVERSITY OF ITAJUBÁ   (Brazil)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

data gathering and analysis; on line computer systems; state estimation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; DATA ACQUISITION; DATA PROCESSING; DATA REDUCTION; ELECTRIC NETWORK TOPOLOGY; LEARNING ALGORITHMS; NEURAL NETWORKS; ONLINE SYSTEMS; STATE ESTIMATION;

PATTERN ANALYSIS;

ELECTRIC POWER SYSTEMS;

EID: 0029256238     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/0142-0615(95)93277-6     Document Type: Article

References (19)

1. Real-time modeling of power networks
2. Solving data acquisition and processing problems in power systems using a pattern analysis approach
3. Detection of topology errors by state estimation
4. The role and implementation of state estimation in an energy management system
5. Whither dynamic state estimation?
6. On-line monitoring and diagnosis of power system operating conditions using artificial neural networks
7. Artificial intelligence solutions to power system operating problems
8. A pattern analysis approach for topology determination bad data correction and missing measurement estimation in power systems
9. Detection and identification of topological errors in online power system analysis
10. Knowledge-assisted state estimation
11. Neural networks for topology determination of power systems
12. Fast learning in artificial neural systems multilayer perceptron training using optimal estimation
13. Autonomous feature discovery for critical clearing time assessment
14. A sparse eigenvalue-based approach for partitioning power networks
15. Associative memory models for data processing
16. A probabilistic associative memory and its application to signal processing in electrical power systems