Detection of Non-Technical Losses: The Project MIDAS

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Author(s): Juan I. Guerrero (Universidad de Sevilla, Spain), Íñigo Monedero (Universidad de Sevilla, Spain), Félix Biscarri (Universidad de Sevilla, Spain), Jesús Biscarri (Universidad de Sevilla, Spain), Rocío Millán (Universidad de Sevilla, Spain)and Carlos León (Universidad de Sevilla, Spain)
Copyright: 2016
Pages: 25
Source title: Business Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9562-7.ch047

Keywords: Business & Management / Business Intelligence / Business Science Reference / Management Science

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Abstract

The MIDAS project began in 2006 as collaboration between Endesa, Sadiel, and the University of Seville. The objective of the MIDAS project is the detection of Non-Technical Losses (NTLs) on power utilities. The NTLs represent the non-billed energy due to faults or illegal manipulations in clients' facilities. Initially, research lines study the application of techniques of data mining and neural networks. After several researches, the studies are expanded to other research fields: expert systems, text mining, statistical techniques, pattern recognition, etc. These techniques have provided an automated system for detection of NTLs on company databases. This system is in the test phase, and it is applied in real cases in company databases.

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Detection of Non-Technical Losses: The Project MIDAS

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