IMPROVED SINGLE-EXPONENT SMOOTHNESS METHOD FOR PREDICTION OF URBAN DAILY WATER DEMAND IN SOME CITY

To economically,reliably and scientifically implement optimal operation of water demand,the improved single-exponent smoothness method was presented based on tracking signal to reflect the changes in time series.By re-fix the smoothing constant a to establish the improved single-exponent smoothness predictive models.The model is applied to a practical project in a city of north east for daily water demands forecasting by checking up the precision,the model is proved to be feasible and effective.Application of this high-precision method to the urban daily water demand and forecast of Y city shows that it is an effective warranty for the city's water optimal arrangement.