Detection and identification of abnormalities in customer consumptions in power distribution systems

IEEE Transactions on Power Delivery

Volumn 26, Issue 4, 2011, Pages 2436-2442

  Dos Angelos, Eduardo Werley S ^a   Saavedra, Osvaldo R ^a   Cortés, Omar A Carmona ^b   De Souza, André Nunes ^c  

^a FEDERAL UNIVERSITY OF MARANHÃO   (Brazil)

^b Technical Federal Institute   (Brazil)

^c SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

Data mining; electricity theft; fuzzy clustering; nontechnical losses

Indexed keywords

CLUSTER CENTERS; COMPUTATIONAL TECHNIQUE; DEFECT DETECTION; DISTANCE MEASURE; ELECTRICITY THEFT; ELECTRICITY-CONSUMPTION; EUCLIDEAN DISTANCE; FRAUDSTERS; FUZZY CLASSIFICATION; FUZZY MEMBERSHIP; NON-TECHNICAL LOSS; POWER DISTRIBUTION SYSTEM; REAL DATABASE;

CRIME; ELECTRIC LOAD DISTRIBUTION; FUZZY CLUSTERING;

FUZZY SYSTEMS;

EID: 80054068964     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2011.2161621     Document Type: Article

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