Variability and trend-based generalized rule induction model to NTL detection in power companies

IEEE Transactions on Power Systems

Volumn 26, Issue 4, 2011, Pages 1798-1807

  León, Carlos ^a   Biscarri, Félix ^a   Monedero, Iñigo ^a   Guerrero, Juan Ignacio ^a   Biscarri, Jesús ^a   Millán, Rocío ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Customer electricity consumption; electric fraud; electricity market; non technical loss

Indexed keywords

CLASSIFICATION METHODS; DATA PREPROCESSING; DATA SELECTION; ELECTRIC CONSUMPTION; ELECTRIC FRAUD; ELECTRICAL ENERGY; ELECTRICITY MARKET; ELECTRICITY-CONSUMPTION; FOUR SECTIONS; GENERALIZED RULE INDUCTION; NON-TECHNICAL LOSS; POWER COMPANY; PREDICTIVE ANALYSIS; PREDICTIVE DATA MINING; PREDICTIVE MODELS; REAL DATABASE; STATISTICAL ESTIMATORS; TREND ANALYSIS;

COMPUTER CRIME; CRIME; DATA MINING; DATA REDUCTION; ELECTRIC INDUSTRY; ELECTRIC LOAD FORECASTING; ELECTRIC UTILITIES; PREDICTIVE CONTROL SYSTEMS; TREES (MATHEMATICS);

ELECTRIC LOSSES;

EID: 80054919333     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2011.2121350     Document Type: Article

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