The electricity consumption forecast with micro and macro analysis

Detalhes bibliográficos
Autor(a) principal: Domingues, Nuno
Data de Publicação: 2018
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/8685
Resumo: Electricity forecast is a key subject to support decision making. Understand all key factors, the major agent’s interaction and the results of the available energy mix are important on the electricity sector. The present paper presents a method of approach to define a complete top-down and bottom-up hybrid model. This method is a baseline to build a tool to test and analyse the electricity market in a Country to provide results that would allow to make quantitative balance and to eliminate unfeasible options. The present paper focuses on the behaviour and on the response areas of the electricity markets.
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spelling The electricity consumption forecast with micro and macro analysisElectricity forecastTop-downBottom-upDecision support systemEnergy mixElectricity forecast is a key subject to support decision making. Understand all key factors, the major agent’s interaction and the results of the available energy mix are important on the electricity sector. The present paper presents a method of approach to define a complete top-down and bottom-up hybrid model. This method is a baseline to build a tool to test and analyse the electricity market in a Country to provide results that would allow to make quantitative balance and to eliminate unfeasible options. The present paper focuses on the behaviour and on the response areas of the electricity markets.Innovative JournalRCIPLDomingues, Nuno2020-07-01T00:30:11Z2018-062018-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/8685engDOMINGUES, Nuno – The electricity consumption forecast with micro and macro analysis. Journal of Business Management and Economics. ISSN 2347-5471. Vol. 6, N.º 6 (2018), pp. 18-222347-5471https://doi.org/10.15520/jbme.v6i06.2190info: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:RCAAP2023-08-03T09:56:28Zoai:repositorio.ipl.pt:10400.21/8685Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:17:23.979916Repositório 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 The electricity consumption forecast with micro and macro analysis
title The electricity consumption forecast with micro and macro analysis
spellingShingle The electricity consumption forecast with micro and macro analysis
Domingues, Nuno
Electricity forecast
Top-down
Bottom-up
Decision support system
Energy mix
title_short The electricity consumption forecast with micro and macro analysis
title_full The electricity consumption forecast with micro and macro analysis
title_fullStr The electricity consumption forecast with micro and macro analysis
title_full_unstemmed The electricity consumption forecast with micro and macro analysis
title_sort The electricity consumption forecast with micro and macro analysis
author Domingues, Nuno
author_facet Domingues, Nuno
author_role author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Domingues, Nuno
dc.subject.por.fl_str_mv Electricity forecast
Top-down
Bottom-up
Decision support system
Energy mix
topic Electricity forecast
Top-down
Bottom-up
Decision support system
Energy mix
description Electricity forecast is a key subject to support decision making. Understand all key factors, the major agent’s interaction and the results of the available energy mix are important on the electricity sector. The present paper presents a method of approach to define a complete top-down and bottom-up hybrid model. This method is a baseline to build a tool to test and analyse the electricity market in a Country to provide results that would allow to make quantitative balance and to eliminate unfeasible options. The present paper focuses on the behaviour and on the response areas of the electricity markets.
publishDate 2018
dc.date.none.fl_str_mv 2018-06
2018-06-01T00:00:00Z
2020-07-01T00:30:11Z
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/10400.21/8685
url http://hdl.handle.net/10400.21/8685
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv DOMINGUES, Nuno – The electricity consumption forecast with micro and macro analysis. Journal of Business Management and Economics. ISSN 2347-5471. Vol. 6, N.º 6 (2018), pp. 18-22
2347-5471
https://doi.org/10.15520/jbme.v6i06.2190
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.publisher.none.fl_str_mv Innovative Journal
publisher.none.fl_str_mv Innovative Journal
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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