A Compressive Receding Horizon Approach for Smart Home Energy Management
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/124332 |
Resumo: | UID/CEC/00326/2020 |
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A Compressive Receding Horizon Approach for Smart Home Energy ManagementHome energy and water management systemsmixed-integer programmingoptimal schedulingreceding horizonsmart homesComputer Science(all)Materials Science(all)Engineering(all)SDG 7 - Affordable and Clean EnergyUID/CEC/00326/2020Current increases in the demand for electricity require sustainable energy management measures and have promoted the adoption of clean and renewable sources, particularly at the residential building level. Active demand management is usually carried out through load shifting based on specific techniques, such as optimisation, heuristics, model-based predictive control and machine learning methodologies. This work addresses the problem of residential load scheduling via optimisation techniques. A compressive receding horizon strategy is proposed for week-ahead load shifting, and the selection is driven by traditional receding horizon and day-ahead allocation strategy misalignment, with weekly household appliance usage patterns. The proposed approach is compared with receding horizon and day-ahead scheduling techniques over 30 different weeks for a prototypical smart home with non-controllable demand, which is representative of a four-resident family and includes micro power generation and battery storage. The simulation results confirm the validity of the proposed strategy in the context of household appliance scheduling problems and show competitive electricity costs and resident discomfort performance compared to state-of-the-art approaches. Furthermore, the proposed compressive receding horizon strategy fully exploits weather and photovoltaic generation forecasts to promote self-consumption and grid demand stress reduction while providing environmental gains and financial benefits to the utility service and consumers, particularly in the case of simultaneously scheduling a huge number of households.CTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasDEE - Departamento de Engenharia Electrotécnica e de ComputadoresDEE2010-B2 SistemasRUNLeitão, JoaquimFonseca, Carlos M.Gil, PauloRibeiro, BernardeteCardoso, Alberto2021-09-10T00:13:41Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article29application/pdfhttp://hdl.handle.net/10362/124332engPURE: 33625837https://doi.org/10.1109/ACCESS.2021.3093277info: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:RCAAP2024-03-11T05:05:48Zoai:run.unl.pt:10362/124332Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:28.584636Repositório 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 |
A Compressive Receding Horizon Approach for Smart Home Energy Management |
title |
A Compressive Receding Horizon Approach for Smart Home Energy Management |
spellingShingle |
A Compressive Receding Horizon Approach for Smart Home Energy Management Leitão, Joaquim Home energy and water management systems mixed-integer programming optimal scheduling receding horizon smart homes Computer Science(all) Materials Science(all) Engineering(all) SDG 7 - Affordable and Clean Energy |
title_short |
A Compressive Receding Horizon Approach for Smart Home Energy Management |
title_full |
A Compressive Receding Horizon Approach for Smart Home Energy Management |
title_fullStr |
A Compressive Receding Horizon Approach for Smart Home Energy Management |
title_full_unstemmed |
A Compressive Receding Horizon Approach for Smart Home Energy Management |
title_sort |
A Compressive Receding Horizon Approach for Smart Home Energy Management |
author |
Leitão, Joaquim |
author_facet |
Leitão, Joaquim Fonseca, Carlos M. Gil, Paulo Ribeiro, Bernardete Cardoso, Alberto |
author_role |
author |
author2 |
Fonseca, Carlos M. Gil, Paulo Ribeiro, Bernardete Cardoso, Alberto |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
CTS - Centro de Tecnologia e Sistemas UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias DEE - Departamento de Engenharia Electrotécnica e de Computadores DEE2010-B2 Sistemas RUN |
dc.contributor.author.fl_str_mv |
Leitão, Joaquim Fonseca, Carlos M. Gil, Paulo Ribeiro, Bernardete Cardoso, Alberto |
dc.subject.por.fl_str_mv |
Home energy and water management systems mixed-integer programming optimal scheduling receding horizon smart homes Computer Science(all) Materials Science(all) Engineering(all) SDG 7 - Affordable and Clean Energy |
topic |
Home energy and water management systems mixed-integer programming optimal scheduling receding horizon smart homes Computer Science(all) Materials Science(all) Engineering(all) SDG 7 - Affordable and Clean Energy |
description |
UID/CEC/00326/2020 |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-10T00:13:41Z 2021 2021-01-01T00:00:00Z |
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/10362/124332 |
url |
http://hdl.handle.net/10362/124332 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PURE: 33625837 https://doi.org/10.1109/ACCESS.2021.3093277 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
29 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 |
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1799138059584798720 |