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An indoor illuminance prediction model based on Neural Networks for visual comfort and energy effciency optimization purposes
dc.contributor.author | Martell, María | |
dc.contributor.author | Castilla, María del Mar | |
dc.contributor.author | Rodriguez-Diaz, Francisco | |
dc.contributor.author | Berenguel, Manuel | |
dc.date.accessioned | 2019-05-27T07:53:19Z | |
dc.date.available | 2019-05-27T07:53:19Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://hdl.handle.net/10835/6812 | |
dc.language.iso | en | es_ES |
dc.relation | info:eu-repo/grantAgreement/ES/MINECOinfo:eu-repo/grantAgreement/ES/MINECO/DPI2017-85007-R/ES/Control y gestión óptima de recursos heterogéneos en distritos productivos agroindustriales integrando energías renovables/CHROMAE | es_ES |
dc.source | IWINAC 2019: From Bioinspired Systems and Biomedical Applications to Machine Learning | es_ES |
dc.title | An indoor illuminance prediction model based on Neural Networks for visual comfort and energy effciency optimization purposes | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | MINECO/DPI2017-85007-R | es_ES |