Potential of artificial neural networks to predict thermal sensation votes

Jörn von Grabe

Applied Energy, 2016, vol. 161, issue C, 412-424

Abstract: If occupants of buildings are offered possibilities to interact with the building’s equipment elements – such as with windows – in order to optimize their individual environment, these interactions will influence the energy consumption of the building. Therefore, during the design of the building, e.g. by building simulations, these interactions need to be predicted if the energy consumption of the building is to be optimized.

Keywords: Thermal sensation; Prediction; Artificial neural network; Predicted mean vote; Occupant behavior (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (16)

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DOI: 10.1016/j.apenergy.2015.10.061

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