Improving the Performance of Water Demand Forecasting Models by Using Weather Input

Autor: Mark Bakker, H. Van Duist, J. H. G. Vreeburg, Luuk C. Rietveld, K. M. van Schagen

Publikováno v: Procedia Engineering, 70, 93-102
Procedia Engineering, 70, 2014; CCWI 2013: 12th International Conference on Computing and Control for the Water Industry
Procedia Engineering 70 (2014)

Literature shows that water demand forecasting models which use water demand as single input, are capable of generating a fairly accurate forecast. However, at changing weather conditions the forecasting errors are quite large. In this paper three di

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