TITLE:
Synthetic Reconstruction of Water Demand Time Series for Real Time Demand Forecasting
AUTHORS:
Bruno M. Brentan, Lubienska C. L. J. Ribeiro, Edevar Luvizotto Jr., Danilo C. Mendonça, José M. Guidi
KEYWORDS:
Water Demand Forecasting, Synthetic Reconstruction, Water Supply Systems
JOURNAL NAME:
Journal of Water Resource and Protection,
Vol.6 No.15,
November
24,
2014
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.