A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector

Detalhes bibliográficos
Autor(a) principal: Ferreira, Adonias M. S.
Data de Publicação: 2013
Outros Autores: Cavalcante, Carlos A. M. T., Fontes, Cristiano H. O., Marambio, Jorge E. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/15215
Resumo: Texto completo: acesso restrito. p. 824–831
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spelling Ferreira, Adonias M. S.Cavalcante, Carlos A. M. T.Fontes, Cristiano H. O.Marambio, Jorge E. S.Ferreira, Adonias M. S.Cavalcante, Carlos A. M. T.Fontes, Cristiano H. O.Marambio, Jorge E. S.2014-07-16T16:17:18Z20130142-0615http://repositorio.ufba.br/ri/handle/ri/15215v. 53Texto completo: acesso restrito. p. 824–831This work presents a method for the selection, typification and clustering of load curves (STCL) capable of recognizing consumption patterns in the electricity sector. The algorithm comprises four steps that extract essential features from the load curve of residential users with an emphasis on their seasonal and temporal profile, among others. The method was successfully implemented and tested in the context of an energy efficiency program carried out by the Energy Company of Maranhão (Brazil). This program involved the replacement of refrigerators in low-income consumers’ homes in several towns located within the state of Maranhão (Brazil). The results were compared with a well known time series clustering method already established in the literature, Fuzzy CMeans (FCM). The results reveal the viability of the STCL method in recognizing patterns and in generating conclusions coherent with the reality of the electricity sector. The proposed method is also useful to support decision-making at management level.Submitted by Suelen Reis (suziy.ellen@gmail.com) on 2014-05-20T11:04:31Z No. of bitstreams: 1 1-s2.0-S0142061513002603-main.pdf: 1039783 bytes, checksum: e9957a6802c4aa424ab79cb3382f1dc0 (MD5)Approved for entry into archive by LIVIA FREITAS (livia.freitas@ufba.br) on 2014-07-16T16:17:18Z (GMT) No. of bitstreams: 1 1-s2.0-S0142061513002603-main.pdf: 1039783 bytes, checksum: e9957a6802c4aa424ab79cb3382f1dc0 (MD5)Made available in DSpace on 2014-07-16T16:17:18Z (GMT). No. of bitstreams: 1 1-s2.0-S0142061513002603-main.pdf: 1039783 bytes, checksum: e9957a6802c4aa424ab79cb3382f1dc0 (MD5) Previous issue date: 2013http://dx.doi.org/10.1016/j.ijepes.2013.06.001reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBADecision-makingElectric sectorPattern recognitionA new method for pattern recognition in load profiles to support decision-making in the management of the electric sectorInternational Journal of Electrical Power and Energy SystemsArtigo de Periódicoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion10000-01-01info:eu-repo/semantics/openAccessengORIGINAL1-s2.0-S0142061513002603-main.pdf1-s2.0-S0142061513002603-main.pdfapplication/pdf1039783https://repositorio.ufba.br/bitstream/ri/15215/1/1-s2.0-S0142061513002603-main.pdfe9957a6802c4aa424ab79cb3382f1dc0MD51LICENSElicense.txtlicense.txttext/plain1345https://repositorio.ufba.br/bitstream/ri/15215/2/license.txt0d4b811ef71182510d2015daa7c8a900MD52TEXT1-s2.0-S0142061513002603-main.pdf.txt1-s2.0-S0142061513002603-main.pdf.txtExtracted texttext/plain28858https://repositorio.ufba.br/bitstream/ri/15215/3/1-s2.0-S0142061513002603-main.pdf.txt8e9018e5c461ca00b4ed0ad5b8256ab4MD53ri/152152022-08-26 11:47:06.296oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-08-26T14:47:06Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false
dc.title.pt_BR.fl_str_mv A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
dc.title.alternative.pt_BR.fl_str_mv International Journal of Electrical Power and Energy Systems
title A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
spellingShingle A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
Ferreira, Adonias M. S.
Decision-making
Electric sector
Pattern recognition
title_short A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
title_full A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
title_fullStr A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
title_full_unstemmed A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
title_sort A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector
author Ferreira, Adonias M. S.
author_facet Ferreira, Adonias M. S.
Cavalcante, Carlos A. M. T.
Fontes, Cristiano H. O.
Marambio, Jorge E. S.
author_role author
author2 Cavalcante, Carlos A. M. T.
Fontes, Cristiano H. O.
Marambio, Jorge E. S.
author2_role author
author
author
dc.contributor.author.fl_str_mv Ferreira, Adonias M. S.
Cavalcante, Carlos A. M. T.
Fontes, Cristiano H. O.
Marambio, Jorge E. S.
Ferreira, Adonias M. S.
Cavalcante, Carlos A. M. T.
Fontes, Cristiano H. O.
Marambio, Jorge E. S.
dc.subject.por.fl_str_mv Decision-making
Electric sector
Pattern recognition
topic Decision-making
Electric sector
Pattern recognition
description Texto completo: acesso restrito. p. 824–831
publishDate 2013
dc.date.issued.fl_str_mv 2013
dc.date.accessioned.fl_str_mv 2014-07-16T16:17:18Z
dc.type.driver.fl_str_mv Artigo de Periódico
info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/15215
dc.identifier.issn.none.fl_str_mv 0142-0615
dc.identifier.number.pt_BR.fl_str_mv v. 53
identifier_str_mv 0142-0615
v. 53
url http://repositorio.ufba.br/ri/handle/ri/15215
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv http://dx.doi.org/10.1016/j.ijepes.2013.06.001
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instname_str Universidade Federal da Bahia (UFBA)
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collection Repositório Institucional da UFBA
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