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

Bibliographic Details
Main Author: Rúben A. Soares
Publication Date: 2015
Other Authors: João Tomé Saraiva, José Nuno Fidalgo, Berto C. Martins
Format: Book
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://repositorio-aberto.up.pt/handle/10216/79684
Summary: 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T19:28:26Zoai:repositorio-aberto.up.pt:10216/79684Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:20:11.336410Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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