Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
Author:
Affiliation:
1. Department of Soil and Water Engineering; College of Agricultural and Technology; Anand Agricultural University; Godhra Gujarat India
2. Department of Bioresource Engineering; McGill University; Ste Anne de Bellevue Quebec Canada
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/wrcr.20517/fullpdf
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4. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada;Adamowski;Water Resour. Res.,2012
5. Water consumption prediction of Istanbul City by using fuzzy logic approach;Altunkaynak;Water Resour. Manage.,2005
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