Forecast of the bidding curve of generation players in the Iberian electricity market

Detalhes bibliográficos
Autor(a) principal: Rúben A. Soares
Data de Publicação: 2015
Outros Autores: João Tomé Saraiva, José Nuno Fidalgo, Berto C. Martins
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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spelling 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
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