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Ponencia
Increasing the efficiency in non-technical losses detection in utility companies
dc.creator | Guerrero Alonso, Juan Ignacio | |
dc.creator | León de Mora, Carlos | |
dc.creator | Biscarri Triviño, Félix | |
dc.creator | Monedero Goicoechea, Iñigo Luis | |
dc.creator | Biscarri Triviño, Jesús | |
dc.creator | Millán Navarro, María del Rocío | |
dc.date.accessioned | 2015-03-16T12:04:34Z | |
dc.date.available | 2015-03-16T12:04:34Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://hdl.handle.net/11441/23494 | |
dc.description.abstract | Usually, the fraud detection method in utility companies uses the consumption information, the economic activity, the geographic location, the active/reactive ration and the contracted power. This paper proposes a combined text mining and neural networks to increase the efficiency in NonTechnical Losses (NTLs) detection methods which was previously applied. This proposed framework proposes to collect all the information that normally cannot be treated with traditional methods. This framework is part of a research project. This project is done in collaboration with Endesa, one of the most important power distribution companies of Europe. Currently, the proposed framework is in the test stage and it uses real cases. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.relation.ispartof | 15th IEEE Mediterranian Electromechanical Conference: Valletta (Malta), 25-28 de Abril, 2010, 136-141 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Increasing the efficiency in non-technical losses detection in utility companies | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/23494 |
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