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Adaptive Domotic System in Green Buildings
dc.contributor.author | Rodríguez-Gracia, Diego | |
dc.contributor.author | Piedra Fernández, José Antonio | |
dc.contributor.author | Iribarne Martínez, Luis Fernando | |
dc.date.accessioned | 2017-10-31T07:53:13Z | |
dc.date.available | 2017-10-31T07:53:13Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 978-1-4799-9957-6 | |
dc.identifier.uri | http://hdl.handle.net/10835/5216 | |
dc.description.abstract | This paper presents an adaptive domotic system in green buildings. In our case, the data of sensor and devices were controlled in CIESOL center. The adaptive domotic system uses a Fuzzy Lattice Reasoning classifier for predicting building energy performance depending on the user condition. Training and testing of classifiers were carried out with temperature condition data acquired for 4 months (February, May, July and November) in the case building called CIESOL. The results show a hihg accuracy rates with a mean absolute error between 0% and 0.21%. | es_ES |
dc.language.iso | es | es_ES |
dc.publisher | IEEE Press | es_ES |
dc.relation | info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41576-R/ES/Evolución de sistemas dinámicos en la nube: Un escenario marco hacia las interfaces de usuario inteligentes/ESDNEMIUI | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source | 4th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2015), July 12-16, Okayama, Japan | es_ES |
dc.title | Adaptive Domotic System in Green Buildings | es_ES |
dc.type | info:eu-repo/semantics/report | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.doi | http://doi.org/10.1109/IIAI-AAI.2015.281 | es_ES |
dc.relation.projectID | TIN2013-41576-R | es_ES |