Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models

Detalhes bibliográficos
Autor(a) principal: Ortiz, Maria
Data de Publicação: 2013
Outros Autores: Ukar, Olatz, Azevedo, Filipe, Barrio, Ruben
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.22/20158
Resumo: The deregulation of electricity markets has resulted on a competitive sector. The impossibility to store energy in large scale together with the constant balance between supply and demand is at the origin of high volatility of market clearing prices. The electricity market players use long-term contracts to practice the hedge against the price risk. The success of those contracts is directly related on the accuracy of long-term price forecast. This paper presents a study of the factors that affects long-term Spanish electricity price formation makes use of a neural network model applied to long-term forecast to validate that study. The use of correct input variables is essential for a forecast accurate. It is presented a case study with real data and the results are compared and discussed in detail.
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spelling Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast ModelsElectricity MarketsLong-term Price ForecastArtificial Neural NetworksElectricity Price FormationArtificial IntelligenceThe deregulation of electricity markets has resulted on a competitive sector. The impossibility to store energy in large scale together with the constant balance between supply and demand is at the origin of high volatility of market clearing prices. The electricity market players use long-term contracts to practice the hedge against the price risk. The success of those contracts is directly related on the accuracy of long-term price forecast. This paper presents a study of the factors that affects long-term Spanish electricity price formation makes use of a neural network model applied to long-term forecast to validate that study. The use of correct input variables is essential for a forecast accurate. It is presented a case study with real data and the results are compared and discussed in detail.REPOSITÓRIO P.PORTOOrtiz, MariaUkar, OlatzAzevedo, FilipeBarrio, Ruben2022-03-08T15:41:08Z2013-072013-07-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/20158enginfo: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:RCAAP2025-04-02T03:29:21Zoai:recipp.ipp.pt:10400.22/20158Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:58:10.347513Repositórios 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 Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
title Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
spellingShingle Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
Ortiz, Maria
Electricity Markets
Long-term Price Forecast
Artificial Neural Networks
Electricity Price Formation
Artificial Intelligence
title_short Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
title_full Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
title_fullStr Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
title_full_unstemmed Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
title_sort Study of Factors Affecting the Long-term Spanish Electricity Price Formation and Corresponding Validation Using Long-term Forecast Models
author Ortiz, Maria
author_facet Ortiz, Maria
Ukar, Olatz
Azevedo, Filipe
Barrio, Ruben
author_role author
author2 Ukar, Olatz
Azevedo, Filipe
Barrio, Ruben
author2_role author
author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Ortiz, Maria
Ukar, Olatz
Azevedo, Filipe
Barrio, Ruben
dc.subject.por.fl_str_mv Electricity Markets
Long-term Price Forecast
Artificial Neural Networks
Electricity Price Formation
Artificial Intelligence
topic Electricity Markets
Long-term Price Forecast
Artificial Neural Networks
Electricity Price Formation
Artificial Intelligence
description The deregulation of electricity markets has resulted on a competitive sector. The impossibility to store energy in large scale together with the constant balance between supply and demand is at the origin of high volatility of market clearing prices. The electricity market players use long-term contracts to practice the hedge against the price risk. The success of those contracts is directly related on the accuracy of long-term price forecast. This paper presents a study of the factors that affects long-term Spanish electricity price formation makes use of a neural network model applied to long-term forecast to validate that study. The use of correct input variables is essential for a forecast accurate. It is presented a case study with real data and the results are compared and discussed in detail.
publishDate 2013
dc.date.none.fl_str_mv 2013-07
2013-07-01T00:00:00Z
2022-03-08T15:41:08Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/20158
url http://hdl.handle.net/10400.22/20158
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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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