Applying support vector machines to predict building energy consumption in tropical region

The methodology to predict building energy consumption is increasingly important for building energy baseline model development and measurement and verification protocol (MVP). This paper presents support vector machines (SVM), a new neural network algorithm, to forecast building energy consumption...

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Veröffentlicht in:	Energy and buildings 2005-05, Vol.37 (5), p.545-553
Hauptverfasser:	Dong, Bing, Cao, Cheng, Lee, Siew Eang
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Building energy consumption prediction Building technical equipments Buildings Buildings. Public works Computation methods. Tables. Charts Energy management and energy conservation in building Environmental engineering Exact sciences and technology Structural analysis. Stresses Support vector machine Tropical region Weather data
Online-Zugang:	Volltext
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