Comparison of two new short-term wind-power forecasting systems

Detalhes bibliográficos
Autor(a) principal: João Nuno Sousa
Data de Publicação: 2009
Outros Autores: L. Alfredo Fernandez-Jimenez, Cláudio Monteiro, Ricardo Jorge Bessa, Ignacio J. Ramirez-Rosado
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/1628
Resumo: This paper presents a comparison of two new advanced statistical short-term wind-power forecasting systems developed by two independent research teams. The input variables used in both systems were the same: forecasted meteorological variable values obtained from a numerical weather prediction model; and electric power-generation registers from the SCADA system of the wind farm. Both systems are described in detail and the forecasting results compared, revealing great similarities, although the proposed structures of the two systems are different. The forecast horizon for both systems is 72 h, allowing the use of the forecasted values in electric market operations, as diary and intra-diary power generation bid offers, and in wind-farm maintenance planning.
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spelling Comparison of two new short-term wind-power forecasting systemsThis paper presents a comparison of two new advanced statistical short-term wind-power forecasting systems developed by two independent research teams. The input variables used in both systems were the same: forecasted meteorological variable values obtained from a numerical weather prediction model; and electric power-generation registers from the SCADA system of the wind farm. Both systems are described in detail and the forecasting results compared, revealing great similarities, although the proposed structures of the two systems are different. The forecast horizon for both systems is 72 h, allowing the use of the forecasted values in electric market operations, as diary and intra-diary power generation bid offers, and in wind-farm maintenance planning.2017-11-16T12:36:55Z2009-01-01T00:00:00Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/1628engJoão Nuno SousaL. Alfredo Fernandez-JimenezCláudio MonteiroRicardo Jorge BessaIgnacio J. Ramirez-Rosadoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:20:21Zoai:repositorio.inesctec.pt:123456789/1628Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:00.491034Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Comparison of two new short-term wind-power forecasting systems
title Comparison of two new short-term wind-power forecasting systems
spellingShingle Comparison of two new short-term wind-power forecasting systems
João Nuno Sousa
title_short Comparison of two new short-term wind-power forecasting systems
title_full Comparison of two new short-term wind-power forecasting systems
title_fullStr Comparison of two new short-term wind-power forecasting systems
title_full_unstemmed Comparison of two new short-term wind-power forecasting systems
title_sort Comparison of two new short-term wind-power forecasting systems
author João Nuno Sousa
author_facet João Nuno Sousa
L. Alfredo Fernandez-Jimenez
Cláudio Monteiro
Ricardo Jorge Bessa
Ignacio J. Ramirez-Rosado
author_role author
author2 L. Alfredo Fernandez-Jimenez
Cláudio Monteiro
Ricardo Jorge Bessa
Ignacio J. Ramirez-Rosado
author2_role author
author
author
author
dc.contributor.author.fl_str_mv João Nuno Sousa
L. Alfredo Fernandez-Jimenez
Cláudio Monteiro
Ricardo Jorge Bessa
Ignacio J. Ramirez-Rosado
description This paper presents a comparison of two new advanced statistical short-term wind-power forecasting systems developed by two independent research teams. The input variables used in both systems were the same: forecasted meteorological variable values obtained from a numerical weather prediction model; and electric power-generation registers from the SCADA system of the wind farm. Both systems are described in detail and the forecasting results compared, revealing great similarities, although the proposed structures of the two systems are different. The forecast horizon for both systems is 72 h, allowing the use of the forecasted values in electric market operations, as diary and intra-diary power generation bid offers, and in wind-farm maintenance planning.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01T00:00:00Z
2009
2017-11-16T12:36:55Z
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.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/1628
url http://repositorio.inesctec.pt/handle/123456789/1628
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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