Adaptive Domotic System in Green Buildings
Identificadores
URI: http://hdl.handle.net/10835/5216
ISBN: 978-1-4799-9957-6
DOI: http://doi.org/10.1109/IIAI-AAI.2015.281
ISBN: 978-1-4799-9957-6
DOI: http://doi.org/10.1109/IIAI-AAI.2015.281
Compartir
Metadatos
Mostrar el registro completo del ítemFecha
2015Resumen
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%.