Neural models project for solar radiation and atmospheric temperature forecast

Detalhes bibliográficos
Autor(a) principal: Martins, I.
Data de Publicação: 2009
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/3993
Resumo: Dissertação de mest., Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2009
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spelling Neural models project for solar radiation and atmospheric temperature forecastTemperaturaRadiação solarRedes neuronaisAlgoritmos genéticosDissertação de mest., Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2009This work arises from the necessity of temperature and solar radiation forecast, to improve the Heating, Ventilating, and Air Conditioning (HVAC) systems e ciency. To do so, it was necessary to determine neural models capable of such forecast. The chosen characteristics were solar radiation and temperature because these two characteristics directly a ect the room temperature inside a building. This forecast system will be implemented on a portable computational device, so it must be built with low computational complexity. During this dissertation the various research phases are described with some detail. The applications were developed on Python programming language due to it library collection. In this task several algorithms were developed to determine the cloudiness index. The results of these algorithms were compared with the results obtained using neural models for the same purpose. In solar radiation and temperature forecast only neural models were used. The cloudiness index forecast was not implemented as this is only an intermediate step; instead measured values of cloudiness index were used for the solar radiation forecast. Regarding the solar radiation forecast two neural models were implemented and compared, one of the models has an exogenous input, the cloudiness index forecast, and the other one is simply a time series. This models were compared to determine if the inclusion of the cloudiness index forecast improves solar radiation forecast. In temperature forecast only one model will be presented, a Nonlinear AutoRegressive with eXogenous input (NARX) model, with solar radiation forecast as exogenous input. All the neural models are radial Basis Function (RBF) and there structure was determined using a Multi-Objective Genetic Algorithm (MOGA). The models were used to determine cloudiness index, forecast solar radiation and temperature.Ruano, A. E.Ferreira, P. M.SapientiaMartins, I.2014-05-17T10:50:04Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.1/3993enginfo: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:RCAAP2023-07-24T10:15:09Zoai:sapientia.ualg.pt:10400.1/3993Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:57:28.036934Repositório 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 Neural models project for solar radiation and atmospheric temperature forecast
title Neural models project for solar radiation and atmospheric temperature forecast
spellingShingle Neural models project for solar radiation and atmospheric temperature forecast
Martins, I.
Temperatura
Radiação solar
Redes neuronais
Algoritmos genéticos
title_short Neural models project for solar radiation and atmospheric temperature forecast
title_full Neural models project for solar radiation and atmospheric temperature forecast
title_fullStr Neural models project for solar radiation and atmospheric temperature forecast
title_full_unstemmed Neural models project for solar radiation and atmospheric temperature forecast
title_sort Neural models project for solar radiation and atmospheric temperature forecast
author Martins, I.
author_facet Martins, I.
author_role author
dc.contributor.none.fl_str_mv Ruano, A. E.
Ferreira, P. M.
Sapientia
dc.contributor.author.fl_str_mv Martins, I.
dc.subject.por.fl_str_mv Temperatura
Radiação solar
Redes neuronais
Algoritmos genéticos
topic Temperatura
Radiação solar
Redes neuronais
Algoritmos genéticos
description Dissertação de mest., Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2009
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2014-05-17T10:50:04Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/3993
url http://hdl.handle.net/10400.1/3993
dc.language.iso.fl_str_mv eng
language eng
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.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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