Genetic algorithm based approach for optimizing the energy rating on existing buildings

Detalles Bibliográficos
Autores: Fresco Contreras, Rafael, Moyano, Juan, Rico Delgado, Fernando
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2016
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/40524
Acceso en línea:http://hdl.handle.net/11441/40524
https://doi.org/10.1177/0143624416644484
Access Level:acceso abierto
Palabra clave:Genetic Algorithm
Energy rating
Building energy retrofit measures
Energy saving
id ES_37fc379280b244a97a05de5cdd8cd80b
oai_identifier_str oai:idus.us.es:11441/40524
network_acronym_str ES
network_name_str España
repository_id_str
spelling Genetic algorithm based approach for optimizing the energy rating on existing buildingsFresco Contreras, RafaelMoyano, JuanRico Delgado, FernandoGenetic AlgorithmEnergy ratingBuilding energy retrofit measuresEnergy savingExpresión Gráfica e Ingeniería en la Edificación2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/40524https://doi.org/10.1177/0143624416644484reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésBuilding Services Engineering Research and Technology, abril 2016, 1-18info:eu-repo/semantics/openAccessoai:idus.us.es:11441/405242026-06-17T12:51:07Z
dc.title.none.fl_str_mv Genetic algorithm based approach for optimizing the energy rating on existing buildings
title Genetic algorithm based approach for optimizing the energy rating on existing buildings
spellingShingle Genetic algorithm based approach for optimizing the energy rating on existing buildings
Fresco Contreras, Rafael
Genetic Algorithm
Energy rating
Building energy retrofit measures
Energy saving
title_short Genetic algorithm based approach for optimizing the energy rating on existing buildings
title_full Genetic algorithm based approach for optimizing the energy rating on existing buildings
title_fullStr Genetic algorithm based approach for optimizing the energy rating on existing buildings
title_full_unstemmed Genetic algorithm based approach for optimizing the energy rating on existing buildings
title_sort Genetic algorithm based approach for optimizing the energy rating on existing buildings
dc.creator.none.fl_str_mv Fresco Contreras, Rafael
Moyano, Juan
Rico Delgado, Fernando
author Fresco Contreras, Rafael
author_facet Fresco Contreras, Rafael
Moyano, Juan
Rico Delgado, Fernando
author_role author
author2 Moyano, Juan
Rico Delgado, Fernando
author2_role author
author
dc.contributor.none.fl_str_mv Expresión Gráfica e Ingeniería en la Edificación
dc.subject.none.fl_str_mv Genetic Algorithm
Energy rating
Building energy retrofit measures
Energy saving
topic Genetic Algorithm
Energy rating
Building energy retrofit measures
Energy saving
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/40524
https://doi.org/10.1177/0143624416644484
url http://hdl.handle.net/11441/40524
https://doi.org/10.1177/0143624416644484
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Building Services Engineering Research and Technology, abril 2016, 1-18
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406072047927296
score 15,198674

Similares en LA Referencia