Applying support vector machine to predict hourly cooling load in the building

In this paper, support vector machine (SVM) is used to predict hourly building cooling load. The hourly building cooling load prediction model based on SVM has been established, and applied to an office building in Guangzhou, China. The simulation results demonstrate that the SVM method can achieve...

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Veröffentlicht in:	Applied energy 2009-10, Vol.86 (10), p.2249-2256
Hauptverfasser:	Li, Qiong, Meng, Qinglin, Cai, Jiejin, Yoshino, Hiroshi, Mochida, Akashi
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial neural network Building Cooling load Energy Energy. Thermal use of fuels Exact sciences and technology Heating, air conditioning and ventilation Prediction Support vector machine Support vector machine Building Cooling load Prediction Artificial neural network Technical data: comfort, insulation, loads, etc
Online-Zugang:	Volltext
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