Logistic-ARIMA coupling model for forecast of demand of urban water resources

Xu Bin · Shuili jingji · 2008

The non-stationary time sequence of urban water consumption was classified into trend term and residual term.They were fitted by means of Logistic curve function and ARIMA model,respectively,and both of the forecast values were accumulated so as to establish Logistic-ARIMA coupling model for forecast of demand of urban water resources.The Logistic-ARIMA coupling model was applied in H City. The results indicate that the forecast accuracy of the present model is effectively improved,and the model is feasible.

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