dc.creator | León de Mora, Carlos | es |
dc.creator | Biscarri Triviño, Félix | es |
dc.creator | Monedero Goicoechea, Iñigo Luis | es |
dc.creator | Guerrero Alonso, Juan Ignacio | es |
dc.creator | Biscarri Triviño, Jesús | es |
dc.creator | Millán, Rocío | es |
dc.date.accessioned | 2018-07-05T07:49:54Z | |
dc.date.available | 2018-07-05T07:49:54Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | León 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.issn | 0957-4174 | es |
dc.identifier.uri | https://hdl.handle.net/11441/76780 | |
dc.description.abstract | The 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.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Expert Systems with Applications, 38 (8), 10274-10285. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Expert system | es |
dc.subject | Data mining | es |
dc.subject | Text mining | es |
dc.subject | Power | es |
dc.title | Integrated expert system applied to the analysis of nontechnical losses in power utilities | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0957417411002685 | es |
dc.identifier.doi | 10.1016/j.eswa.2011.02.062 | es |
idus.format.extent | 12 | es |
dc.journaltitle | Expert Systems with Applications | es |
dc.publication.volumen | 38 | es |
dc.publication.issue | 8 | es |
dc.publication.initialPage | 10274 | es |
dc.publication.endPage | 10285 | es |
dc.identifier.sisius | 6632373 | es |