EDP - A new estimation algorithm

Detalhes bibliográficos
Autor(a) principal: Medeiros, Frederico
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/15989
Resumo: The aim of this work project is to analyze the current algorithm used by EDP to estimate their clients’ electrical energy consumptions, create a new algorithm and compare the advantages and disadvantages of both. This new algorithm is different from the current one as it incorporates some effects from temperature variations. The results of the comparison show that this new algorithm with temperature variables performed better than the same algorithm without temperature variables, although there is still potential for further improvements of the current algorithm, if the prediction model is estimated using a sample of daily data, which is the case of the current EDP algorithm.
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spelling EDP - A new estimation algorithmAlgorithmElectricityEstimationTemperatureDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe aim of this work project is to analyze the current algorithm used by EDP to estimate their clients’ electrical energy consumptions, create a new algorithm and compare the advantages and disadvantages of both. This new algorithm is different from the current one as it incorporates some effects from temperature variations. The results of the comparison show that this new algorithm with temperature variables performed better than the same algorithm without temperature variables, although there is still potential for further improvements of the current algorithm, if the prediction model is estimated using a sample of daily data, which is the case of the current EDP algorithm.Nunes, Luís CatelaRUNMedeiros, Frederico2015-11-27T15:39:48Z2012-012012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/15989enginfo: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:RCAAP2024-03-11T03:52:27Zoai:run.unl.pt:10362/15989Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:22:56.113627Repositório 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 EDP - A new estimation algorithm
title EDP - A new estimation algorithm
spellingShingle EDP - A new estimation algorithm
Medeiros, Frederico
Algorithm
Electricity
Estimation
Temperature
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short EDP - A new estimation algorithm
title_full EDP - A new estimation algorithm
title_fullStr EDP - A new estimation algorithm
title_full_unstemmed EDP - A new estimation algorithm
title_sort EDP - A new estimation algorithm
author Medeiros, Frederico
author_facet Medeiros, Frederico
author_role author
dc.contributor.none.fl_str_mv Nunes, Luís Catela
RUN
dc.contributor.author.fl_str_mv Medeiros, Frederico
dc.subject.por.fl_str_mv Algorithm
Electricity
Estimation
Temperature
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Algorithm
Electricity
Estimation
Temperature
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The aim of this work project is to analyze the current algorithm used by EDP to estimate their clients’ electrical energy consumptions, create a new algorithm and compare the advantages and disadvantages of both. This new algorithm is different from the current one as it incorporates some effects from temperature variations. The results of the comparison show that this new algorithm with temperature variables performed better than the same algorithm without temperature variables, although there is still potential for further improvements of the current algorithm, if the prediction model is estimated using a sample of daily data, which is the case of the current EDP algorithm.
publishDate 2012
dc.date.none.fl_str_mv 2012-01
2012-01-01T00:00:00Z
2015-11-27T15:39:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/15989
url http://hdl.handle.net/10362/15989
dc.language.iso.fl_str_mv eng
language eng
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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