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	2016-01-18T09:25:01Z
dc.date.available	2016-01-18T09:25:01Z
dc.date.issued	2016-01-18
dc.identifier.uri	http://hdl.handle.net/10835/3871
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 high accuracy rates with a mean absolute error between 0% and 0.21%	es_ES
dc.language.iso	en	es_ES
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