Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid

Detalhes bibliográficos
Autor(a) principal: Faria, Pedro
Data de Publicação: 2014
Outros Autores: Vale, Zita, Souza, André [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/167691
Resumo: Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers' performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.
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spelling Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart gridCommercial lossesCustomer baseline loadPerformance evaluation methodsSmart gridCommercial lossCustomer baseline loadsEvaluation methodsElectric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers' performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.GECAD - Knowledge Engineering and Decision Support Research Center, IPP - Polytechnic Institute of PortoDepartment of Electrical Engineering, UNESP - Universidade Estadual PaulistaDepartment of Electrical Engineering, UNESP - Universidade Estadual PaulistaGECAD - Knowledge Engineering and Decision Support Research Center, IPP - Polytechnic Institute of PortoUniversidade Estadual Paulista (Unesp)Faria, PedroVale, ZitaSouza, André [UNESP]2018-12-11T16:37:56Z2018-12-11T16:37:56Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference.2160-85632160-8555http://hdl.handle.net/11449/1676912-s2.0-84908425346Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the IEEE Power Engineering Society Transmission and Distribution Conferenceinfo:eu-repo/semantics/openAccess2021-10-23T21:44:31Zoai:repositorio.unesp.br:11449/167691Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:50:53.130114Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
title Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
spellingShingle Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
Faria, Pedro
Commercial losses
Customer baseline load
Performance evaluation methods
Smart grid
Commercial loss
Customer baseline loads
Evaluation methods
title_short Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
title_full Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
title_fullStr Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
title_full_unstemmed Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
title_sort Analysis of consumption data to detect commercial losses using performance evaluation methods in a smart grid
author Faria, Pedro
author_facet Faria, Pedro
Vale, Zita
Souza, André [UNESP]
author_role author
author2 Vale, Zita
Souza, André [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv GECAD - Knowledge Engineering and Decision Support Research Center, IPP - Polytechnic Institute of Porto
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Faria, Pedro
Vale, Zita
Souza, André [UNESP]
dc.subject.por.fl_str_mv Commercial losses
Customer baseline load
Performance evaluation methods
Smart grid
Commercial loss
Customer baseline loads
Evaluation methods
topic Commercial losses
Customer baseline load
Performance evaluation methods
Smart grid
Commercial loss
Customer baseline loads
Evaluation methods
description Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers' performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2018-12-11T16:37:56Z
2018-12-11T16:37:56Z
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 Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference.
2160-8563
2160-8555
http://hdl.handle.net/11449/167691
2-s2.0-84908425346
identifier_str_mv Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference.
2160-8563
2160-8555
2-s2.0-84908425346
url http://hdl.handle.net/11449/167691
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
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
_version_ 1808128231644069888

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