Computational Models Development and Demand Response Application for Smart Grids
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/20338 |
Resumo: | This paper focuses on computational models development and its applications on demand response, within smart grid scope. A prosumer model is presented and the corresponding economic dispatch problem solution is analyzed. The prosumer solar radiation production and energy consumption are forecasted by artificial neural networks. The existing demand response models are studied and a computational tool based on fuzzy clustering algorithm is developed and the results discussed. Consumer energy management applications within the InovGrid pilot project are presented. Computation systems are developed for the acquisition, monitoring, control and supervision of consumption data provided by smart meters, allowing the incorporation of consumer actions on their electrical energy management. An energy management system with integration of smart meters for energy consumers in a smart grid is developed. |
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Computational Models Development and Demand Response Application for Smart GridsSmart GridsProsumersDemand ResponseEnergy Management ApplicationsThis paper focuses on computational models development and its applications on demand response, within smart grid scope. A prosumer model is presented and the corresponding economic dispatch problem solution is analyzed. The prosumer solar radiation production and energy consumption are forecasted by artificial neural networks. The existing demand response models are studied and a computational tool based on fuzzy clustering algorithm is developed and the results discussed. Consumer energy management applications within the InovGrid pilot project are presented. Computation systems are developed for the acquisition, monitoring, control and supervision of consumption data provided by smart meters, allowing the incorporation of consumer actions on their electrical energy management. An energy management system with integration of smart meters for energy consumers in a smart grid is developed.DOCEIS 2016 - 7th Doctoral Conf. on Computing, Electrical and Industrial Systems, April 2016, Caparica-Lisbon, Portugal2017-01-30T13:24:11Z2017-01-302016-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/20338http://hdl.handle.net/10174/20338eng39. PEREIRA, R., FIGUEIREDO, J., QUADRADO J. [2016] "Computational Models Development and Demand Response Application for Smart Grids”, Proc. DOCEIS 2016 - 7th Doctoral Conf. on Computing, Electrical and Industrial Systems, April 2016, Caparica-Lisbon, Portugalsimnaonaondjfig@uevora.ptnd493Pereira, R.Figueiredo, JoaoQuadrado, J.info: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:RCAAP2024-01-03T19:09:51Zoai:dspace.uevora.pt:10174/20338Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:11:40.101468Repositório 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 |
Computational Models Development and Demand Response Application for Smart Grids |
title |
Computational Models Development and Demand Response Application for Smart Grids |
spellingShingle |
Computational Models Development and Demand Response Application for Smart Grids Pereira, R. Smart Grids Prosumers Demand Response Energy Management Applications |
title_short |
Computational Models Development and Demand Response Application for Smart Grids |
title_full |
Computational Models Development and Demand Response Application for Smart Grids |
title_fullStr |
Computational Models Development and Demand Response Application for Smart Grids |
title_full_unstemmed |
Computational Models Development and Demand Response Application for Smart Grids |
title_sort |
Computational Models Development and Demand Response Application for Smart Grids |
author |
Pereira, R. |
author_facet |
Pereira, R. Figueiredo, Joao Quadrado, J. |
author_role |
author |
author2 |
Figueiredo, Joao Quadrado, J. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pereira, R. Figueiredo, Joao Quadrado, J. |
dc.subject.por.fl_str_mv |
Smart Grids Prosumers Demand Response Energy Management Applications |
topic |
Smart Grids Prosumers Demand Response Energy Management Applications |
description |
This paper focuses on computational models development and its applications on demand response, within smart grid scope. A prosumer model is presented and the corresponding economic dispatch problem solution is analyzed. The prosumer solar radiation production and energy consumption are forecasted by artificial neural networks. The existing demand response models are studied and a computational tool based on fuzzy clustering algorithm is developed and the results discussed. Consumer energy management applications within the InovGrid pilot project are presented. Computation systems are developed for the acquisition, monitoring, control and supervision of consumption data provided by smart meters, allowing the incorporation of consumer actions on their electrical energy management. An energy management system with integration of smart meters for energy consumers in a smart grid is developed. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-01T00:00:00Z 2017-01-30T13:24:11Z 2017-01-30 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/20338 http://hdl.handle.net/10174/20338 |
url |
http://hdl.handle.net/10174/20338 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
39. PEREIRA, R., FIGUEIREDO, J., QUADRADO J. [2016] "Computational Models Development and Demand Response Application for Smart Grids”, Proc. DOCEIS 2016 - 7th Doctoral Conf. on Computing, Electrical and Industrial Systems, April 2016, Caparica-Lisbon, Portugal sim nao nao nd jfig@uevora.pt nd 493 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
DOCEIS 2016 - 7th Doctoral Conf. on Computing, Electrical and Industrial Systems, April 2016, Caparica-Lisbon, Portugal |
publisher.none.fl_str_mv |
DOCEIS 2016 - 7th Doctoral Conf. on Computing, Electrical and Industrial Systems, April 2016, Caparica-Lisbon, Portugal |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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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1799136598685646848 |