Combined use of unsupervised and supervised learning for large scale power system static security mapping

IEEE International Symposium on Industrial Electronics

Volumn 2, Issue , 2004, Pages 1321-1326

  Boudour, M ^a   Hellal, A ^b  

^a UNIVERSITÉ DES SCIENCES ET DE LA TECHNOLOGIE D ORAN MOHAMED BOUDIAF   (Algeria)

^b ECOLE MILITAIRE POLYTECHNIQUE   (Algeria)

Author keywords

Growing hierarchical neural network classifier; Power system security assessment; static Security

Indexed keywords

COMPUTATION TIME; GROWING HIERARCHICAL NEURAL NETWORK- CLASSIFIER; LARGE-SCALE POWER SYSTEMS; NEURAL NET; NUMERICAL TESTS; ON-LINE SECURITIES; POWER SYSTEM SECURITY ASSESSMENT; POWER SYSTEMS; SELF-ORGANIZING FEATURE MAPPING; STATE VECTOR; STATIC SECURITY; UNSUPERVISED TRAINING;

CLASSIFIERS; EDUCATION; INDUSTRIAL ELECTRONICS; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; POWER TRANSMISSION;

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 66549123357     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2004.1572004     Document Type: Conference Paper

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