Adaptive Domotic System in Green Buildings

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Rodríguez-Gracia, Diego, Piedra Fernández, José Antonio, Iribarne Martínez, Luis Fernando
Materyal Türü: info:eu-repo/semantics/report
Dil:English
Baskı/Yayın Bilgisi: 2016
Online Erişim:http://hdl.handle.net/10835/3871
Diğer Bilgiler
Özet: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%