Synthetic Reconstruction of Water Demand Time Series for Real Time Demand Forecasting

Bruno M. Brentan^1*, Lubienska C. L. J. Ribeiro², Edevar Luvizotto Jr.¹, Danilo C. Mendonça², José M. Guidi³

¹Water Recourses Department, School of Civil Engineering, Unicamp, Campinas, Brazil.
²School of Technology, Unicamp, Limeira, Brazil.
³Company of Water Supply of Sao Paulo, Franca, Brazil.

DOI: 10.4236/jwarp.2014.615132                

Abstract

The forecasting of the demand applied to water supply systems has been an important tool to realize time control. The use of the time series to do the forecasting of the demand is the main way that has been used by researchers. By this way, the need of a complete time demand series increases. This work presents two ways to reconstruct the water demand time series synthetically, using the Average Reconstruction Method and Fourier Method. Both the methods were considered interesting to do the synthetic reconstruction and able to complete the time series, but the Fourier Method showed better results and a better fitness to approximation of the water consumption pattern.

Keywords

Water Demand Forecasting, Synthetic Reconstruction, Water Supply Systems

Conflicts of Interest

The authors declare no conflicts of interest.

References

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