Adaptive Domotic System in Green Buildings
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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
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2015Abstract
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%.