Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario

Detalhes bibliográficos
Autor(a) principal: Fernandes, Filipe
Data de Publicação: 2016
Outros Autores: Alves, Douglas, Pinto, Tiago, Takigawa, Fabrício, Fernandes, Rubipiara, Morais, Hugo, Vale, Zita, Kagan, Nelson
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/10001
Resumo: This paper proposes a novel case-based reasoning (CBR) approach to support the intelligent management of energy resources in a residential context. The proposed approach analyzes previous cases of consumption reduction in houses, and determines the amount that should be reduced in each moment and in each context, in order to meet the users’ needs in terms of comfort while minimizing the energy bill. The actual energy resources management is executed using the SCADA House Intelligent Management (SHIM) system, which schedules the use of the different resources, taking into account the suggested reduction amount. A case study is presented, using data from Brazilian consumers. Several scenarios are considered, representing different combinations concerning the type of house/inhabitants, the season, the type of used energy tariff, the use of Photovoltaic system (PV) generation, and the maximum amount of allowed reduction. Results show that the proposed CBR approach is able to suggest appropriate amounts of energy reduction, which result in significant reductions of the energy bill, while, with the use of SHIM, minimizing the reduction of users’ comfort.
id RCAP_941d1d73c3719d8711e69bf9f8d6e7e3
oai_identifier_str oai:recipp.ipp.pt:10400.22/10001
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Intelligent Energy Management using CBR: Brazilian Residential Consumption ScenarioBrazilian residential scenarioCase based reasoningEnergy resources managementIntelligent house managementThis paper proposes a novel case-based reasoning (CBR) approach to support the intelligent management of energy resources in a residential context. The proposed approach analyzes previous cases of consumption reduction in houses, and determines the amount that should be reduced in each moment and in each context, in order to meet the users’ needs in terms of comfort while minimizing the energy bill. The actual energy resources management is executed using the SCADA House Intelligent Management (SHIM) system, which schedules the use of the different resources, taking into account the suggested reduction amount. A case study is presented, using data from Brazilian consumers. Several scenarios are considered, representing different combinations concerning the type of house/inhabitants, the season, the type of used energy tariff, the use of Photovoltaic system (PV) generation, and the maximum amount of allowed reduction. Results show that the proposed CBR approach is able to suggest appropriate amounts of energy reduction, which result in significant reductions of the energy bill, while, with the use of SHIM, minimizing the reduction of users’ comfort.Institute of Electrical and Electronics EngineersRepositório Científico do Instituto Politécnico do PortoFernandes, FilipeAlves, DouglasPinto, TiagoTakigawa, FabrícioFernandes, RubipiaraMorais, HugoVale, ZitaKagan, Nelson20162117-01-01T00:00:00Z2016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/10001eng10.1109/SSCI.2016.7849852metadata 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:RCAAP2023-03-13T12:51:34Zoai:recipp.ipp.pt:10400.22/10001Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:30:32.243291Repositório 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 Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
title Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
spellingShingle Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
Fernandes, Filipe
Brazilian residential scenario
Case based reasoning
Energy resources management
Intelligent house management
title_short Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
title_full Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
title_fullStr Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
title_full_unstemmed Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
title_sort Intelligent Energy Management using CBR: Brazilian Residential Consumption Scenario
author Fernandes, Filipe
author_facet Fernandes, Filipe
Alves, Douglas
Pinto, Tiago
Takigawa, Fabrício
Fernandes, Rubipiara
Morais, Hugo
Vale, Zita
Kagan, Nelson
author_role author
author2 Alves, Douglas
Pinto, Tiago
Takigawa, Fabrício
Fernandes, Rubipiara
Morais, Hugo
Vale, Zita
Kagan, Nelson
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Fernandes, Filipe
Alves, Douglas
Pinto, Tiago
Takigawa, Fabrício
Fernandes, Rubipiara
Morais, Hugo
Vale, Zita
Kagan, Nelson
dc.subject.por.fl_str_mv Brazilian residential scenario
Case based reasoning
Energy resources management
Intelligent house management
topic Brazilian residential scenario
Case based reasoning
Energy resources management
Intelligent house management
description This paper proposes a novel case-based reasoning (CBR) approach to support the intelligent management of energy resources in a residential context. The proposed approach analyzes previous cases of consumption reduction in houses, and determines the amount that should be reduced in each moment and in each context, in order to meet the users’ needs in terms of comfort while minimizing the energy bill. The actual energy resources management is executed using the SCADA House Intelligent Management (SHIM) system, which schedules the use of the different resources, taking into account the suggested reduction amount. A case study is presented, using data from Brazilian consumers. Several scenarios are considered, representing different combinations concerning the type of house/inhabitants, the season, the type of used energy tariff, the use of Photovoltaic system (PV) generation, and the maximum amount of allowed reduction. Results show that the proposed CBR approach is able to suggest appropriate amounts of energy reduction, which result in significant reductions of the energy bill, while, with the use of SHIM, minimizing the reduction of users’ comfort.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2117-01-01T00:00:00Z
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/10400.22/10001
url http://hdl.handle.net/10400.22/10001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/SSCI.2016.7849852
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
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 Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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
_version_ 1799131400760197120