A hierarchical neural model in short-term load forecasting.
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/877 |
Resumo: | This paper proposes a novel neural model to the problem of short-term load forecasting (STLF). The neural model is made up of two self-organizing map (SOM) 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 on load data extracted from a Brazilian electric utility, and compared to a multilayer perceptron (MLP) load forecaster. It was required to predict once every hour the electric load during the next 24 h. The paper presents the results, the conclusions, and points out some directions for future work. |
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Carpinteiro, Otávio Augusto SalgadoReis, Agnaldo José da RochaSilva, Alexandre Pinto Alves da2012-06-19T12:30:20Z2012-06-19T12:30:20Z2004CARPINTEIRO, O. A. S.; REIS, A. J. R.; SILVA, A, P. A. A hierarchical neural model in short-term load forecasting. Applied Soft Computing, v. 4, n. 4, p. 405-412, set. 2004. Disponível em: <https://www.sciencedirect.com/science/article/pii/S156849460400050X>. Acesso em: 19 jun. 2012.15684946http://www.repositorio.ufop.br/handle/123456789/877This paper proposes a novel neural model to the problem of short-term load forecasting (STLF). The neural model is made up of two self-organizing map (SOM) 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 on load data extracted from a Brazilian electric utility, and compared to a multilayer perceptron (MLP) load forecaster. It was required to predict once every hour the electric load during the next 24 h. The paper presents the results, the conclusions, and points out some directions for future work.Short-term load forecastingSelf-organizing mapNeural networkA hierarchical neural model in short-term load forecasting.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleO Periódico Applied Soft Computing concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3291280500461.info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://www.repositorio.ufop.br/bitstream/123456789/877/5/license.txt8a4605be74aa9ea9d79846c1fba20a33MD55ORIGINALARTIGO_HierarchicalNeuralModel.pdfARTIGO_HierarchicalNeuralModel.pdfapplication/pdf112393http://www.repositorio.ufop.br/bitstream/123456789/877/1/ARTIGO_HierarchicalNeuralModel.pdfe65715c1ba7b1e9d5a7f16fd2c6a96c9MD51123456789/8772019-02-22 14:13:39.178oai:localhost: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Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332019-02-22T19:13:39Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.pt_BR.fl_str_mv |
A hierarchical neural model in short-term load forecasting. |
title |
A hierarchical neural model in short-term load forecasting. |
spellingShingle |
A hierarchical neural model in short-term load forecasting. Carpinteiro, Otávio Augusto Salgado Short-term load forecasting Self-organizing map Neural network |
title_short |
A hierarchical neural model in short-term load forecasting. |
title_full |
A hierarchical neural model in short-term load forecasting. |
title_fullStr |
A hierarchical neural model in short-term load forecasting. |
title_full_unstemmed |
A hierarchical neural model in short-term load forecasting. |
title_sort |
A hierarchical neural model in short-term load forecasting. |
author |
Carpinteiro, Otávio Augusto Salgado |
author_facet |
Carpinteiro, Otávio Augusto Salgado Reis, Agnaldo José da Rocha Silva, Alexandre Pinto Alves da |
author_role |
author |
author2 |
Reis, Agnaldo José da Rocha Silva, Alexandre Pinto Alves da |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Carpinteiro, Otávio Augusto Salgado Reis, Agnaldo José da Rocha Silva, Alexandre Pinto Alves da |
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 (STLF). The neural model is made up of two self-organizing map (SOM) 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 on load data extracted from a Brazilian electric utility, and compared to a multilayer perceptron (MLP) load forecaster. It was required to predict once every hour the electric load during the next 24 h. The paper presents the results, the conclusions, and points out some directions for future work. |
publishDate |
2004 |
dc.date.issued.fl_str_mv |
2004 |
dc.date.accessioned.fl_str_mv |
2012-06-19T12:30:20Z |
dc.date.available.fl_str_mv |
2012-06-19T12:30:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
CARPINTEIRO, O. A. S.; REIS, A. J. R.; SILVA, A, P. A. A hierarchical neural model in short-term load forecasting. Applied Soft Computing, v. 4, n. 4, p. 405-412, set. 2004. Disponível em: <https://www.sciencedirect.com/science/article/pii/S156849460400050X>. Acesso em: 19 jun. 2012. |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufop.br/handle/123456789/877 |
dc.identifier.issn.none.fl_str_mv |
15684946 |
identifier_str_mv |
CARPINTEIRO, O. A. S.; REIS, A. J. R.; SILVA, A, P. A. A hierarchical neural model in short-term load forecasting. Applied Soft Computing, v. 4, n. 4, p. 405-412, set. 2004. Disponível em: <https://www.sciencedirect.com/science/article/pii/S156849460400050X>. Acesso em: 19 jun. 2012. 15684946 |
url |
http://www.repositorio.ufop.br/handle/123456789/877 |
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.none.fl_str_mv |
reponame:Repositório Institucional da UFOP instname:Universidade Federal de Ouro Preto (UFOP) instacron:UFOP |
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Universidade Federal de Ouro Preto (UFOP) |
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UFOP |
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UFOP |
reponame_str |
Repositório Institucional da UFOP |
collection |
Repositório Institucional da UFOP |
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http://www.repositorio.ufop.br/bitstream/123456789/877/5/license.txt http://www.repositorio.ufop.br/bitstream/123456789/877/1/ARTIGO_HierarchicalNeuralModel.pdf |
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repositorio@ufop.edu.br |
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