hourly water demand forecast model 时用水量预测模型
Typical examples proved that the model is a very accurate water demand forecast model.
通过实例证明该模型是一种行之有效的用水量预测模型。
Taking Qingdao as the research object, the forecast research on its industrial water demand is conducted, the method of prediction USES the grey prediction model.
以青岛市为研究对象，对其工业需水量进行了预测研究，预测方法采用灰色预测理论。
The forecasting results of the case study has proved that the adaptive control exponential smoothing forecasting model suits water demand forecast in irrigation districts.
实例预报结果表明，把自适应指数平滑预报模型应用于灌区需水量预报中是可行的。
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