Application of artificial neural network to predict thermal transmittance of wooden windows

Thermal performance of windows depends on many parameters, such as dimensional characteristics and material properties of the components. The thermal transmittance U can be evaluated by a numerical method based on the CFD approach for the evaluation of the frame U-value (ISO 10077-1, ISO 10077-2) or by experimental campaigns on window prototypes, according to ISO 12657-1; in both cases significant effort and time are required.

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Year of publication:	2012
Authors:	Buratti, Cinzia ; Barelli, Linda ; Moretti, Elisa
Published in:	Applied Energy. - Elsevier, ISSN 0306-2619. - Vol. 98.2012, C, p. 425-432
Publisher:	Elsevier
Subject:	Wooden windows \| French windows \| Thermal transmittance prediction \| Artificial neural network \| Experimental data

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010702517