Forecast of the bidding curve of generation players in the Iberian electricity market
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://repositorio-aberto.up.pt/handle/10216/79684 |
Resumo: | This paper reports the research that was developedto predict biding curves submitted by generation players to theMarket Operator of the Iberian Electricity Market. In thisscope, we used a data set based on publicly availableinformation from the website of the Market Operator to developa two-step ANN prediction model. The first step involves theprediction of the amount of energy bidden at zero price and thesecond ANN predicts the parameters of the equation of the linethat better approximates the remaining bid curve. The testswere done using information of a large generation player butthis approach can be replicated to other players so that theindividual predicted curves can be composed in order to obtainthe aggregated selling curve for each hour of the next day. |
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Forecast of the bidding curve of generation players in the Iberian electricity marketEngenharia electrotécnica, Engenharia electrotécnica, electrónica e informáticaElectrical engineering, Electrical engineering, Electronic engineering, Information engineeringThis paper reports the research that was developedto predict biding curves submitted by generation players to theMarket Operator of the Iberian Electricity Market. In thisscope, we used a data set based on publicly availableinformation from the website of the Market Operator to developa two-step ANN prediction model. The first step involves theprediction of the amount of energy bidden at zero price and thesecond ANN predicts the parameters of the equation of the linethat better approximates the remaining bid curve. The testswere done using information of a large generation player butthis approach can be replicated to other players so that theindividual predicted curves can be composed in order to obtainthe aggregated selling curve for each hour of the next day.20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/79684eng10.1109/EEM.2015.7216659Rúben A. SoaresJoão Tomé SaraivaJosé Nuno FidalgoBerto C. Martinsinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:05:27Zoai:repositorio-aberto.up.pt:10216/79684Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:15:23.466530Repositório 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 |
Forecast of the bidding curve of generation players in the Iberian electricity market |
title |
Forecast of the bidding curve of generation players in the Iberian electricity market |
spellingShingle |
Forecast of the bidding curve of generation players in the Iberian electricity market Rúben A. Soares Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering |
title_short |
Forecast of the bidding curve of generation players in the Iberian electricity market |
title_full |
Forecast of the bidding curve of generation players in the Iberian electricity market |
title_fullStr |
Forecast of the bidding curve of generation players in the Iberian electricity market |
title_full_unstemmed |
Forecast of the bidding curve of generation players in the Iberian electricity market |
title_sort |
Forecast of the bidding curve of generation players in the Iberian electricity market |
author |
Rúben A. Soares |
author_facet |
Rúben A. Soares João Tomé Saraiva José Nuno Fidalgo Berto C. Martins |
author_role |
author |
author2 |
João Tomé Saraiva José Nuno Fidalgo Berto C. Martins |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Rúben A. Soares João Tomé Saraiva José Nuno Fidalgo Berto C. Martins |
dc.subject.por.fl_str_mv |
Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering |
topic |
Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática Electrical engineering, Electrical engineering, Electronic engineering, Information engineering |
description |
This paper reports the research that was developedto predict biding curves submitted by generation players to theMarket Operator of the Iberian Electricity Market. In thisscope, we used a data set based on publicly availableinformation from the website of the Market Operator to developa two-step ANN prediction model. The first step involves theprediction of the amount of energy bidden at zero price and thesecond ANN predicts the parameters of the equation of the linethat better approximates the remaining bid curve. The testswere done using information of a large generation player butthis approach can be replicated to other players so that theindividual predicted curves can be composed in order to obtainthe aggregated selling curve for each hour of the next day. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio-aberto.up.pt/handle/10216/79684 |
url |
https://repositorio-aberto.up.pt/handle/10216/79684 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1109/EEM.2015.7216659 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
repository.mail.fl_str_mv |
|
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1799136074140745728 |