Application of artificial neural network to predict thermal transmittance of wooden windows
Cinzia Buratti,
Linda Barelli and
Elisa Moretti
Applied Energy, 2012, vol. 98, issue C, 425-432
Abstract:
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.
Keywords: Wooden windows; French windows; Thermal transmittance prediction; Artificial neural network; Experimental data (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (10)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:98:y:2012:i:c:p:425-432
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DOI: 10.1016/j.apenergy.2012.04.004
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