Application of grey information difference model in the forecast of city water requirement

被引：0

作者：

Fu, Jinxiang ^{[1
]}

Pan, Haibin ^{[1
]}

You, Kun ^{[1
]}

机构：

[1] School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang 110168, China

来源：

Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) | 2008年 / 24卷 / 01期

关键词：

Forecasting - Mathematical models - Water supply;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In order to forecast city water consumption more accurately and remedy traditional grey forecasting which cannot react to outer influencing factors, we put forward grey information difference model to forecast city water requirement. The new model is based on traditional grey forecasting method and the authors compared a series of numbers which was restored by using the model to imitate the original numbers and then used the differences to structure a new model, which was put back to the old model to rectify the mistakes. In this way, a new advanced forecasting method was formed. By comparing and practicing, it shows that grey information renewal model can remedy the fault of traditional grey forecasting and foresee the future water requirement better.

引用

页码：119 / 122