Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Filipe
Data de Publicação: 2016
Outros Autores: Cardeira, Carlos, Calado, João, Melício, Rui, Rui, Melício
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/19696
https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.117
https://doi.org/10.1016/j.egypro.2016.12.117
Resumo: This paper presents a methodology to forecast the hourly and daily consumption in households assisted by cyber physical systems. The methodology was validated using a database of consumption of a set of 93 domestic consumers. Forecast tools used were based on Fast Fourier Series and Generalized Reduced Gradient. Both tools were tested and their forecast results were compared. The paper shows that both tools allow obtaining satisfactory results for energy consumption forecasting.
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spelling Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPSEnergy consumptionload managementsupply and demandSmart meterspredictive modelsThis paper presents a methodology to forecast the hourly and daily consumption in households assisted by cyber physical systems. The methodology was validated using a database of consumption of a set of 93 domestic consumers. Forecast tools used were based on Fast Fourier Series and Generalized Reduced Gradient. Both tools were tested and their forecast results were compared. The paper shows that both tools allow obtaining satisfactory results for energy consumption forecasting.2017-01-10T15:41:19Z2017-01-102016-12-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/19696https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.117http://hdl.handle.net/10174/19696https://doi.org/10.1016/j.egypro.2016.12.117enghttp://www.sciencedirect.com/science/article/pii/S1876610216316757ndndndruimelicio@gmail.comnd489Rodrigues, FilipeCardeira, CarlosCalado, JoãoMelício, RuiRui, Melícioinfo: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:RCAAP2024-01-03T19:08:44Zoai:dspace.uevora.pt:10174/19696Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:11:12.527569Repositório 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 Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
title Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
spellingShingle Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
Rodrigues, Filipe
Energy consumption
load management
supply and demand
Smart meters
predictive models
title_short Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
title_full Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
title_fullStr Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
title_full_unstemmed Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
title_sort Load Profile Analysis Tool for Electrical Appliances in Households Assisted by CPS
author Rodrigues, Filipe
author_facet Rodrigues, Filipe
Cardeira, Carlos
Calado, João
Melício, Rui
Rui, Melício
author_role author
author2 Cardeira, Carlos
Calado, João
Melício, Rui
Rui, Melício
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Rodrigues, Filipe
Cardeira, Carlos
Calado, João
Melício, Rui
Rui, Melício
dc.subject.por.fl_str_mv Energy consumption
load management
supply and demand
Smart meters
predictive models
topic Energy consumption
load management
supply and demand
Smart meters
predictive models
description This paper presents a methodology to forecast the hourly and daily consumption in households assisted by cyber physical systems. The methodology was validated using a database of consumption of a set of 93 domestic consumers. Forecast tools used were based on Fast Fourier Series and Generalized Reduced Gradient. Both tools were tested and their forecast results were compared. The paper shows that both tools allow obtaining satisfactory results for energy consumption forecasting.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-26T00:00:00Z
2017-01-10T15:41:19Z
2017-01-10
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/10174/19696
https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.117
http://hdl.handle.net/10174/19696
https://doi.org/10.1016/j.egypro.2016.12.117
url http://hdl.handle.net/10174/19696
https://doi.org/http://dx.doi.org/10.1016/j.egypro.2016.12.117
https://doi.org/10.1016/j.egypro.2016.12.117
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.sciencedirect.com/science/article/pii/S1876610216316757
nd
nd
nd
ruimelicio@gmail.com
nd
489
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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