A new approach for nontechnical losses detection based on optimum-path forest

IEEE Transactions on Power Systems

Volumn 26, Issue 1, 2011, Pages 181-189

  Ramos, Caio César Oba ^a   De Sousa, Andrá Nunes ^a   Papa, João Paulo ^a   Falcão, Alexandre Xavier ^b  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Nontechnical losses; optimum path forest; pattern recognition

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; AUTOMATIC IDENTIFICATION; COMPUTATIONAL BURDEN; ENERGY LOSS; FRAUD DETECTION; NEW APPROACHES; NON-TECHNICAL LOSS; OPTIMUM-PATH FOREST; PARAMETER OPTIMIZATION; PATTERN RECOGNITION TECHNIQUES; PRUNING ALGORITHMS; TRAINING PHASE;

AUTOMATION; NEURAL NETWORKS; PATTERN RECOGNITION;

ELECTRIC LOSSES;

EID: 79151470595     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2010.2051823     Document Type: Article

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