Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach

Detalhes bibliográficos
Autor(a) principal: Pousinho, Hugo Miguel Inácio
Data de Publicação: 2012
Outros Autores: Mendes, Victor, Catalão, João Paulo da Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/5178
Resumo: In this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market, considering a time horizon of 1 week. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally, conclusions are duly drawn.
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spelling Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approachElectricity MarketPrice ForecastingSwarm OptimizationNeural NetworksFuzzy LogicIn this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market, considering a time horizon of 1 week. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally, conclusions are duly drawn.ElsevierRCIPLPousinho, Hugo Miguel InácioMendes, VictorCatalão, João Paulo da Silva2015-09-11T09:14:08Z2012-072012-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/5178engPOUSINHO, H. M. I.; MENDES, V. M. F.; CATALÃO, J. P. S. – Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach. International Journal of Electrical Power & Energy Systems. Vol. 39, nr. 1 (2012), pp. 29-3510.1016/j.ijepes.2012.01.001metadata only accessinfo: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:RCAAP2023-08-03T09:48:12Zoai:repositorio.ipl.pt:10400.21/5178Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:14:29.646358Repositório 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 Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
title Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
spellingShingle Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
Pousinho, Hugo Miguel Inácio
Electricity Market
Price Forecasting
Swarm Optimization
Neural Networks
Fuzzy Logic
title_short Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
title_full Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
title_fullStr Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
title_full_unstemmed Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
title_sort Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
author Pousinho, Hugo Miguel Inácio
author_facet Pousinho, Hugo Miguel Inácio
Mendes, Victor
Catalão, João Paulo da Silva
author_role author
author2 Mendes, Victor
Catalão, João Paulo da Silva
author2_role author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Pousinho, Hugo Miguel Inácio
Mendes, Victor
Catalão, João Paulo da Silva
dc.subject.por.fl_str_mv Electricity Market
Price Forecasting
Swarm Optimization
Neural Networks
Fuzzy Logic
topic Electricity Market
Price Forecasting
Swarm Optimization
Neural Networks
Fuzzy Logic
description In this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market, considering a time horizon of 1 week. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally, conclusions are duly drawn.
publishDate 2012
dc.date.none.fl_str_mv 2012-07
2012-07-01T00:00:00Z
2015-09-11T09:14:08Z
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://hdl.handle.net/10400.21/5178
url http://hdl.handle.net/10400.21/5178
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv POUSINHO, H. M. I.; MENDES, V. M. F.; CATALÃO, J. P. S. – Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach. International Journal of Electrical Power & Energy Systems. Vol. 39, nr. 1 (2012), pp. 29-35
10.1016/j.ijepes.2012.01.001
dc.rights.driver.fl_str_mv metadata only access
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rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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