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- W84403962 abstract "This paper describes two methods used for on-line Forecasting of consumer water demand on a water distribution system and compares their accuracy and computational feasibility for the development of a computer-based optimal control scheme on an actual network in, Worcestershire, England. The first method uses Kaiman filtering techniques with a temperature or rainfall variable controlling the propagation of the residual component, while the second method uses the Karhunen-Loeve spectral expansion using past load data only. Comparison indicates that the former is best for prediction up to 48 hours ahead, while the latter is best for prediction 1-2 hours ahead." @default.
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- W84403962 date "1975-08-01" @default.
- W84403962 modified "2023-09-26" @default.
- W84403962 title "On-Line Prediction of Consumption for Water Supply Network Control" @default.
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- W84403962 doi "https://doi.org/10.1016/s1474-6670(17)67578-5" @default.
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