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

Detalhes bibliográficos
Autor(a) principal: Oba Ramos, Caio Cesar
Data de Publicação: 2012
Outros Autores: Souza, Andre Nunes de, Gastaldello, Danilo Sinkiti, Papa, Joao Paulo [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/197420
Resumo: This 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.
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spelling Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKAThis 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.Univ Sao Paulo, Dept Elect Engn, Polytech Sch, Sao Paulo, BrazilSao Paulo State Univ UNESP, Dept Comp, Fac Sci, Sao Paulo, BrazilSao Paulo State Univ UNESP, Dept Comp, Fac Sci, Sao Paulo, BrazilIeeeUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Oba Ramos, Caio CesarSouza, Andre Nunes deGastaldello, Danilo SinkitiPapa, Joao Paulo [UNESP]IEEE2020-12-10T22:02:51Z2020-12-10T22:02:51Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62012 10th Ieee/ias International Conference On Industry Applications (induscon). New York: Ieee, 6 p., 2012.http://hdl.handle.net/11449/197420WOS:000318021500028Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2012 10th Ieee/ias International Conference On Industry Applications (induscon)info:eu-repo/semantics/openAccess2024-04-23T16:11:19Zoai:repositorio.unesp.br:11449/197420Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:06:30.303621Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
title Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
spellingShingle Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
Oba Ramos, Caio Cesar
title_short Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
title_full Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
title_fullStr Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
title_full_unstemmed Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
title_sort Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
author Oba Ramos, Caio Cesar
author_facet Oba Ramos, Caio Cesar
Souza, Andre Nunes de
Gastaldello, Danilo Sinkiti
Papa, Joao Paulo [UNESP]
IEEE
author_role author
author2 Souza, Andre Nunes de
Gastaldello, Danilo Sinkiti
Papa, Joao Paulo [UNESP]
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Oba Ramos, Caio Cesar
Souza, Andre Nunes de
Gastaldello, Danilo Sinkiti
Papa, Joao Paulo [UNESP]
IEEE
description This 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.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
2020-12-10T22:02:51Z
2020-12-10T22:02:51Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2012 10th Ieee/ias International Conference On Industry Applications (induscon). New York: Ieee, 6 p., 2012.
http://hdl.handle.net/11449/197420
WOS:000318021500028
identifier_str_mv 2012 10th Ieee/ias International Conference On Industry Applications (induscon). New York: Ieee, 6 p., 2012.
WOS:000318021500028
url http://hdl.handle.net/11449/197420
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2012 10th Ieee/ias International Conference On Industry Applications (induscon)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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