A hierarchical self-organizing map model in short-termload forecasting.
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/1190 |
Resumo: | This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets|one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was required to predict once every hour the electric load during the next 24 hours. The paper presents the results, and evaluates them |
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Carpinteiro, Otávio Augusto SalgadoReis, Agnaldo José da Rocha2012-07-24T14:53:14Z2012-07-24T14:53:14Z2004CARPINTEIRO, O. A. S.; REIS, A. J. da R. A hierarchical self-organizing map model in short-termload forecasting. In: Congresso Brasileiro de Automática, 15., 2004. Gramado. Anais... XV Congresso Brasileiro de Automática, 2004. p.1-6. Disponível em: <http://www.lti.pcs.usp.br/robotics/grva/publicacoes/outras/cba2004-cd-rom/cba2004/pdf/548.pdf>. Acesso em: 23 jul. 2012.http://www.repositorio.ufop.br/handle/123456789/1190This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets|one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was required to predict once every hour the electric load during the next 24 hours. The paper presents the results, and evaluates themShort-term load forecastingSelf-organizing mapNeural networkA hierarchical self-organizing map model in short-termload forecasting.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPinfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://www.repositorio.ufop.br/bitstream/123456789/1190/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALEVENTO_HierarchicalSelfOrganizing.pdfEVENTO_HierarchicalSelfOrganizing.pdfapplication/pdf180217http://www.repositorio.ufop.br/bitstream/123456789/1190/1/EVENTO_HierarchicalSelfOrganizing.pdfa210f6d18a630f53059894d20db4f91aMD51123456789/11902016-10-27 09:54:35.667oai:localhost: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Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332016-10-27T13:54:35Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.pt_BR.fl_str_mv |
A hierarchical self-organizing map model in short-termload forecasting. |
title |
A hierarchical self-organizing map model in short-termload forecasting. |
spellingShingle |
A hierarchical self-organizing map model in short-termload forecasting. Carpinteiro, Otávio Augusto Salgado Short-term load forecasting Self-organizing map Neural network |
title_short |
A hierarchical self-organizing map model in short-termload forecasting. |
title_full |
A hierarchical self-organizing map model in short-termload forecasting. |
title_fullStr |
A hierarchical self-organizing map model in short-termload forecasting. |
title_full_unstemmed |
A hierarchical self-organizing map model in short-termload forecasting. |
title_sort |
A hierarchical self-organizing map model in short-termload forecasting. |
author |
Carpinteiro, Otávio Augusto Salgado |
author_facet |
Carpinteiro, Otávio Augusto Salgado Reis, Agnaldo José da Rocha |
author_role |
author |
author2 |
Reis, Agnaldo José da Rocha |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Carpinteiro, Otávio Augusto Salgado Reis, Agnaldo José da Rocha |
dc.subject.por.fl_str_mv |
Short-term load forecasting Self-organizing map Neural network |
topic |
Short-term load forecasting Self-organizing map Neural network |
description |
This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets|one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was required to predict once every hour the electric load during the next 24 hours. The paper presents the results, and evaluates them |
publishDate |
2004 |
dc.date.issued.fl_str_mv |
2004 |
dc.date.accessioned.fl_str_mv |
2012-07-24T14:53:14Z |
dc.date.available.fl_str_mv |
2012-07-24T14:53:14Z |
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.citation.fl_str_mv |
CARPINTEIRO, O. A. S.; REIS, A. J. da R. A hierarchical self-organizing map model in short-termload forecasting. In: Congresso Brasileiro de Automática, 15., 2004. Gramado. Anais... XV Congresso Brasileiro de Automática, 2004. p.1-6. Disponível em: <http://www.lti.pcs.usp.br/robotics/grva/publicacoes/outras/cba2004-cd-rom/cba2004/pdf/548.pdf>. Acesso em: 23 jul. 2012. |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufop.br/handle/123456789/1190 |
identifier_str_mv |
CARPINTEIRO, O. A. S.; REIS, A. J. da R. A hierarchical self-organizing map model in short-termload forecasting. In: Congresso Brasileiro de Automática, 15., 2004. Gramado. Anais... XV Congresso Brasileiro de Automática, 2004. p.1-6. Disponível em: <http://www.lti.pcs.usp.br/robotics/grva/publicacoes/outras/cba2004-cd-rom/cba2004/pdf/548.pdf>. Acesso em: 23 jul. 2012. |
url |
http://www.repositorio.ufop.br/handle/123456789/1190 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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reponame:Repositório Institucional da UFOP instname:Universidade Federal de Ouro Preto (UFOP) instacron:UFOP |
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