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In order to find a fast and effective method to predict building energy consumption at different climate zones, this paper used artificial neural network (ANN) for this prediction with 20 input parameters, including 18 building envelope performance parameters, heating degree day (HDD) and cooling degree day (CDD). A backpropagation neural network has been preferred and the data have been presented...
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