An ensemble wavelet bootstrap machine learning approach to water demand forecasting: a case study in the city of Calgary, Canada
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DOI: 10.1080/1573062x.2015.1084011
Abstract: Abstract This paper explores a hybrid wavelet, bootstrap and neural network (WBNN) modeling approach for daily (1, 3 and 5 day) urban water demand forecasting in situations with limited data availability. This method was tested… read more here.
Keywords: wavelet bootstrap; water; demand forecasting; water demand ... See more keywords