Using baseline methods to identify non-technical losses in the context of smart grids
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/ISGT-LA.2013.6554495 http://hdl.handle.net/11449/76330 |
Resumo: | Demand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for integrating demand response, several methods have been developed to evaluate the consumers' performance after the participation in a demand response event. The present paper uses those performance evaluation methods, namely customer baseline load calculation methods, to determine the expected consumption in each period of the consumer historic data. In the cases in which there is a certain difference between the actual consumption and the estimated consumption, the consumer is identified as a potential cause of non-technical losses. A case study demonstrates the application of the proposed method to real consumption data. © 2013 IEEE. |
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Using baseline methods to identify non-technical losses in the context of smart gridsCustomer baseline loaddemand responsenontechnical lossesperformance evaluation methodssmart gridCustomer baseline loadsDemand responseEvaluation methodsNon-technical lossSmart gridSmart power gridsDemand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for integrating demand response, several methods have been developed to evaluate the consumers' performance after the participation in a demand response event. The present paper uses those performance evaluation methods, namely customer baseline load calculation methods, to determine the expected consumption in each period of the consumer historic data. In the cases in which there is a certain difference between the actual consumption and the estimated consumption, the consumer is identified as a potential cause of non-technical losses. A case study demonstrates the application of the proposed method to real consumption data. © 2013 IEEE.GECAD Knowledge Engineering and Decision Support Research Center IPP Polytechnic Institute of Porto, PortoDepartment of Electrical Engineering UNESP Univ Estadual Paulista, BauruDepartment of Electrical Engineering UNESP Univ Estadual Paulista, BauruPolytechnic Institute of PortoUniversidade Estadual Paulista (Unesp)Faria, PedroVale, ZitaAntunes, PedroSouza, André [UNESP]2014-05-27T11:30:15Z2014-05-27T11:30:15Z2013-08-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISGT-LA.2013.65544952013 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT LA 2013.http://hdl.handle.net/11449/7633010.1109/ISGT-LA.2013.65544952-s2.0-848823909638212775960494686Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT LA 2013info:eu-repo/semantics/openAccess2024-06-28T13:34:42Zoai:repositorio.unesp.br:11449/76330Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:06:48.451847Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Using baseline methods to identify non-technical losses in the context of smart grids |
title |
Using baseline methods to identify non-technical losses in the context of smart grids |
spellingShingle |
Using baseline methods to identify non-technical losses in the context of smart grids Faria, Pedro Customer baseline load demand response nontechnical losses performance evaluation methods smart grid Customer baseline loads Demand response Evaluation methods Non-technical loss Smart grid Smart power grids |
title_short |
Using baseline methods to identify non-technical losses in the context of smart grids |
title_full |
Using baseline methods to identify non-technical losses in the context of smart grids |
title_fullStr |
Using baseline methods to identify non-technical losses in the context of smart grids |
title_full_unstemmed |
Using baseline methods to identify non-technical losses in the context of smart grids |
title_sort |
Using baseline methods to identify non-technical losses in the context of smart grids |
author |
Faria, Pedro |
author_facet |
Faria, Pedro Vale, Zita Antunes, Pedro Souza, André [UNESP] |
author_role |
author |
author2 |
Vale, Zita Antunes, Pedro Souza, André [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Polytechnic Institute of Porto Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Faria, Pedro Vale, Zita Antunes, Pedro Souza, André [UNESP] |
dc.subject.por.fl_str_mv |
Customer baseline load demand response nontechnical losses performance evaluation methods smart grid Customer baseline loads Demand response Evaluation methods Non-technical loss Smart grid Smart power grids |
topic |
Customer baseline load demand response nontechnical losses performance evaluation methods smart grid Customer baseline loads Demand response Evaluation methods Non-technical loss Smart grid Smart power grids |
description |
Demand response has gained increasing importance in the context of competitive electricity markets and smart grid environments. In addition to the importance that has been given to the development of business models for integrating demand response, several methods have been developed to evaluate the consumers' performance after the participation in a demand response event. The present paper uses those performance evaluation methods, namely customer baseline load calculation methods, to determine the expected consumption in each period of the consumer historic data. In the cases in which there is a certain difference between the actual consumption and the estimated consumption, the consumer is identified as a potential cause of non-technical losses. A case study demonstrates the application of the proposed method to real consumption data. © 2013 IEEE. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-08-26 2014-05-27T11:30:15Z 2014-05-27T11:30:15Z |
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 |
http://dx.doi.org/10.1109/ISGT-LA.2013.6554495 2013 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT LA 2013. http://hdl.handle.net/11449/76330 10.1109/ISGT-LA.2013.6554495 2-s2.0-84882390963 8212775960494686 |
url |
http://dx.doi.org/10.1109/ISGT-LA.2013.6554495 http://hdl.handle.net/11449/76330 |
identifier_str_mv |
2013 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT LA 2013. 10.1109/ISGT-LA.2013.6554495 2-s2.0-84882390963 8212775960494686 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2013 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT LA 2013 |
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_ |
1808129286103629824 |