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Solar radiation prediction using classical and evolutionary techniques

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Resumo:Modern greenhouse climate controllers are based on models to simulate and predict greenhouse environment behavior. These models must be able to describe indoor climate process dynamics, which is a function of both the control actions taken and outside climate. Moreover, if predictive or feedforward control techniques are to be applied, it is necessary to employ models to describe and predict the weather (solar radiation, air temperature, etc.). In this paper, classical and evolutionary techniques are applied to solar radiation time-series prediction within a greenhouse located in the UTAD campuus. Experimental results are provided and compared for the two tipes of methods.
Autores principais:Coelho, João Paulo
Outros Autores:Cunha, José Boaventura; Oliveira, Paulo de Moura
Assunto:Greenhouse System identification Evolutionary algorithms Regressive methods
Ano:2001
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Coelho, João Paulo
author2 Cunha, José Boaventura
Oliveira, Paulo de Moura
author2_role author
author
author_facet Coelho, João Paulo
Cunha, José Boaventura
Oliveira, Paulo de Moura
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Coelho, João Paulo\",\"Person.identifier.orcid\":\"0000-0002-7616-1383\"},{\"Person.name\":\"Cunha, José Boaventura\"},{\"Person.name\":\"Oliveira, Paulo de Moura\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Coelho, João Paulo
Cunha, José Boaventura
Oliveira, Paulo de Moura
datacite.date.Accepted.fl_str_mv 2001-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2010-11-09T16:29:39Z
datacite.date.embargoed.fl_str_mv 2010-11-09T16:29:39Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Greenhouse
System identification
Evolutionary algorithms
Regressive methods
datacite.titles.title.fl_str_mv Solar radiation prediction using classical and evolutionary techniques
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Coelho, João Paulo
Cunha, José Boaventura
Oliveira, Paulo de Moura
dc.date.Accepted.fl_str_mv 2001-01-01T00:00:00Z
dc.date.available.fl_str_mv 2010-11-09T16:29:39Z
dc.date.embargoed.fl_str_mv 2010-11-09T16:29:39Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/2769
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Greenhouse
System identification
Evolutionary algorithms
Regressive methods
dc.title.fl_str_mv Solar radiation prediction using classical and evolutionary techniques
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description Modern greenhouse climate controllers are based on models to simulate and predict greenhouse environment behavior. These models must be able to describe indoor climate process dynamics, which is a function of both the control actions taken and outside climate. Moreover, if predictive or feedforward control techniques are to be applied, it is necessary to employ models to describe and predict the weather (solar radiation, air temperature, etc.). In this paper, classical and evolutionary techniques are applied to solar radiation time-series prediction within a greenhouse located in the UTAD campuus. Experimental results are provided and compared for the two tipes of methods.
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eu_rights_str_mv openAccess
format conferencePaper
fulltext.url.fl_str_mv https://bibliotecadigital.ipb.pt/bitstreams/6f21a34b-eaeb-4eeb-96f3-7156fd291982/download
id ipb_f8db9d7ee06bc071e01cda0f29a37299
identifier.url.fl_str_mv http://hdl.handle.net/10198/2769
instacron_str ipb
institution Instituto Politécnico de Bragança
instname_str Instituto Politécnico de Bragança
language eng
network_acronym_str ipb
network_name_str Biblioteca Digital do IPB
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/2769
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Coelho, João Paulo
Coelho, João Paulo
https://www.ciencia-id.pt/D61E-A586-7D4A
D61E-A586-7D4A
http://orcid.org/0000-0002-7616-1383
0000-0002-7616-1383
Cunha, José Boaventura
Oliveira, Paulo de Moura
publishDate 2001
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
service_str_mv urn:repositoryAcronym:ipb
spelling engModern greenhouse climate controllers are based on models to simulate and predict greenhouse environment behavior. These models must be able to describe indoor climate process dynamics, which is a function of both the control actions taken and outside climate. Moreover, if predictive or feedforward control techniques are to be applied, it is necessary to employ models to describe and predict the weather (solar radiation, air temperature, etc.). In this paper, classical and evolutionary techniques are applied to solar radiation time-series prediction within a greenhouse located in the UTAD campuus. Experimental results are provided and compared for the two tipes of methods.application/pdfporSolar radiation prediction using classical and evolutionary techniquesPersonalCoelho, João PauloDSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668DSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668CoelhoJoão PauloCiência IDhttps://www.ciencia-id.ptD61E-A586-7D4AORCIDhttp://orcid.org0000-0002-7616-1383Researcher IDhttps://www.researcherid.comJ-6887-2013Scopus Author IDhttps://www.scopus.com55137039300Cunha, José BoaventuraOliveira, Paulo de MouraHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2010-11-09T16:29:39Z20012001-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/2769http://purl.org/coar/access_right/c_abf2open accessGreenhouseSystem identificationEvolutionary algorithmsRegressive methods10599182 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/6f21a34b-eaeb-4eeb-96f3-7156fd291982/downloadWorkshop on Management Identification and Control of Agriculture Buildings88104Vila Real, Portugal
spellingShingle Solar radiation prediction using classical and evolutionary techniques
Coelho, João Paulo
Greenhouse
System identification
Evolutionary algorithms
Regressive methods
status SINGLETON
subject.fl_str_mv Greenhouse
System identification
Evolutionary algorithms
Regressive methods
title Solar radiation prediction using classical and evolutionary techniques
title_full Solar radiation prediction using classical and evolutionary techniques
title_fullStr Solar radiation prediction using classical and evolutionary techniques
title_full_unstemmed Solar radiation prediction using classical and evolutionary techniques
title_short Solar radiation prediction using classical and evolutionary techniques
title_sort Solar radiation prediction using classical and evolutionary techniques
topic Greenhouse
System identification
Evolutionary algorithms
Regressive methods
topic_facet Greenhouse
System identification
Evolutionary algorithms
Regressive methods
url http://hdl.handle.net/10198/2769
visible 1