Detection rules for Non Technical Losses analysis in power utilities

IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES

Volumn , Issue , 2008, Pages

  Nizar, Anisah H ^a,b   Dong, Zhao Yang ^a,b   Zhang, Pei ^a,c  

^a IEEE

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c ELECTRIC POWER RESEARCH INSTITUTE   (United States)

Author keywords

Classification; Clustering; Data mining; Data pre processing; Detection rules; Feature selection; Fraud detection; Non Technical Losses; Power losses; Prediction

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; ENERGY CONVERSION; FINANCE; INFORMATION MANAGEMENT; INSURANCE; POTENTIAL ENERGY; POTENTIAL ENERGY SURFACES; SEARCH ENGINES;

21ST CENTURY; CLASSIFICATION; CLASSIFICATION ACCURACIES; CLASSIFICATION TECHNIQUES; CLUSTERING; COMPARISON RESULTS; CREDIT CARD; CUSTOMER DATABASES; DATA MINING; DATA MINING TASKS; DATA PRE-PROCESSING; DETECTION RULES; ELECTRICAL ENERGY; FEATURE SELECTION; FRAUD DETECTION; GENERAL FRAMEWORK; INDIVIDUAL CUSTOMERS; INSURANCE COMPANIES; NON-TECHNICAL LOSSES; POWER LOSSES; POWER UTILITIES; PREDICTION;

LAWS AND LEGISLATION;

EID: 52349096076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2008.4596300     Document Type: Conference Paper

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