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dc.creatorLeón de Mora, Carloses
dc.creatorBiscarri Triviño, Félixes
dc.creatorMonedero Goicoechea, Iñigo Luises
dc.creatorGuerrero Alonso, Juan Ignacioes
dc.creatorBiscarri Triviño, Jesúses
dc.creatorMillán, Rocíoes
dc.date.accessioned2018-07-05T07:49:54Z
dc.date.available2018-07-05T07:49:54Z
dc.date.issued2011
dc.identifier.citationLeón de Mora, C., Biscarri Triviño, F., Monedero Goicoechea, I.L., Guerrero Alonso, J.I., Biscarri Triviño, J. y Millán, R. (2011). Integrated expert system applied to the analysis of nontechnical losses in power utilities. Expert Systems with Applications, 38 (8), 10274-10285.
dc.identifier.issn0957-4174es
dc.identifier.urihttps://hdl.handle.net/11441/76780
dc.description.abstractThe detection of non-technical losses (NTLs), in most papers, commonly deals with the utilization of the registered consumption for each customer; besides, some researchers used the economic activity, the active/reactive ratio and the contract power. Currently, utility company databases store enormous amounts of information on both installations and customers: consumption, technical information on the measure equipment, documentation, inspections results, commentaries of inspectors, etc. In this paper, an integrated expert system (IES) for the analysis and classification of all the available useful infor-mation of the customer is presented. Customer classification identifies the presence of an NTL and the problem type. This IES include several modules: text mining module for analysis of inspector commen-taries and extraction of additional information on the customer, data mining module to draw up the rules that determine the customer estimate consumption, and the Rule Based Expert System module to analyze each customer using the results of the text and data mining modules. This IES is used with real data extracted from Endesa company databases. Endesa is the most important power distribution company in Spain, and one of the most significant companies of Europe. This IES is used in the test phase by human experts in the Endesa company. In this phase, the IES is used as a Decision Support System (DSS), as it contains another module which provides a report with additional information about the customer and a summarized result that the inspectors can use to reach a decision.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofExpert Systems with Applications, 38 (8), 10274-10285.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectExpert systemes
dc.subjectData mininges
dc.subjectText mininges
dc.subjectPoweres
dc.titleIntegrated expert system applied to the analysis of nontechnical losses in power utilitieses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0957417411002685es
dc.identifier.doi10.1016/j.eswa.2011.02.062es
idus.format.extent12es
dc.journaltitleExpert Systems with Applicationses
dc.publication.volumen38es
dc.publication.issue8es
dc.publication.initialPage10274es
dc.publication.endPage10285es
dc.identifier.sisius6632373es

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional