Using regression analysis to identify patterns of non-technical losses on power utilities

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6276 LNAI, Issue PART 1, 2010, Pages 410-419

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

^a UNIVERSITY OF SEVILLE   (Spain)

^b Endesa SA   (Spain)

Author keywords

data mining; Non technical loss; Pearson correlation coefficient; power utility; regression analysis

Indexed keywords

CONSUMED ENERGY; ELECTRONIC TECHNOLOGIES; MAIN TASKS; MEASUREMENT EQUIPMENT; NON-TECHNICAL LOSS; PEARSON CORRELATION COEFFICIENTS; POWER UTILITY; SEVILLE;

CORRELATION METHODS; CUSTOMER SATISFACTION; DATA MINING; DROPS; KNOWLEDGE BASED SYSTEMS; METAL ANALYSIS; SALES; STATISTICS;

REGRESSION ANALYSIS;

EID: 78449263588     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15387-7_45     Document Type: Conference Paper

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