dc.creator | Monedero Goicoechea, Iñigo Luis | es |
dc.creator | Biscarri Triviño, Félix | es |
dc.creator | León de Mora, Carlos | es |
dc.creator | Guerrero Alonso, Juan Ignacio | es |
dc.creator | Biscarri Triviño, Jesús | es |
dc.creator | Millán, Rocío | es |
dc.date.accessioned | 2018-07-05T10:57:22Z | |
dc.date.available | 2018-07-05T10:57:22Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Monedero Goicoechea, I.L., Biscarri Triviño, F., León de Mora, C., Guerrero Alonso, J.I., Biscarri Triviño, J. y Millán, R. (2010). Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities. En KES 2010: 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (410-419), Cardiff, UK: Springer. | |
dc.identifier.isbn | 978-3-642-15386-0 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/76937 | |
dc.description.abstract | A non-technical loss (NTL) is defined as any consumed energy or
service which is not billed because of measurement equipment failure or illintentioned
and fraudulent manipulation of said equipment. This paper describes
new advances that we have developed for Midas project. This project is
being developed in the Electronic Technology Department of the University of
Seville and its aim is to detect non-technical losses in the database of the
Endesa Company. The main symptom of a NTL in a customer is an important
drop in his billed energy. Thus, a main task for us is to detect customers with
anomalous drops in their consumed energy. Concretely, in the paper we present
two new algorithms based on a regression analysis in order to detect two types
of patterns of decreasing consumption typical in customers with NTLs. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | KES 2010: 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (2010), p 410-419 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Non-technical loss | es |
dc.subject | Power utility | es |
dc.subject | Data mining | es |
dc.subject | Regression analysis | es |
dc.subject | Pearson correlation coefficient | es |
dc.title | Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities | es |
dc.type | info:eu-repo/semantics/conferenceObject | 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://link.springer.com/chapter/10.1007/978-3-642-15387-7_45 | es |
dc.identifier.doi | 10.1007/978-3-642-15387-7_45 | es |
idus.format.extent | 10 | es |
dc.publication.initialPage | 410 | es |
dc.publication.endPage | 419 | es |
dc.eventtitle | KES 2010: 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems | es |
dc.eventinstitution | Cardiff, UK | es |
dc.relation.publicationplace | Berlín | es |