Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA

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Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorOba Ramos, Caio Cesar-
Autor(es): dc.creatorSouza, Andre Nunes de-
Autor(es): dc.creatorGastaldello, Danilo Sinkiti-
Autor(es): dc.creatorPapa, Joao Paulo [UNESP]-
Autor(es): dc.creatorIEEE-
Data de aceite: dc.date.accessioned2022-02-22T00:12:24Z-
Data de disponibilização: dc.date.available2022-02-22T00:12:24Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2012-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/197420-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/197420-
Descrição: dc.descriptionThis work has as objectives the implementation of a intelligent computational tool to identify the non-technical losses and to select its most relevant features, considering information from the database with industrial consumers profiles of a power company. The solution to this problem is not trivial and not of regional character, the minimization of non-technical loss represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. This work presents using the WEKA software to the proposed objective, comparing various classification techniques and optimization through intelligent algorithms, this way, can be possible to automate applications on Smart Grids.-
Descrição: dc.descriptionUniv Sao Paulo, Dept Elect Engn, Polytech Sch, Sao Paulo, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Dept Comp, Fac Sci, Sao Paulo, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Dept Comp, Fac Sci, Sao Paulo, Brazil-
Formato: dc.format6-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2012 10th Ieee/ias International Conference On Industry Applications (induscon)-
???dc.source???: dc.sourceWeb of Science-
Título: dc.titleIdentification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA-
Aparece nas coleções:Repositório Institucional - Unesp

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