Grey Regressive Prediction Method of Urban Life Water Consumption

被引：0

作者：

Liu Bao-zheng ^{[1
]}

Wang Ding-wei ^{[1
]}

机构：

[1] Liaocheng Univ, Coll Math Sci, Liaocheng 252059, Peoples R China

来源：

26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年

关键词：

Water consumption of urban life; impact factors; Gray relational analysis; Grey prediction; GM; (0; N); model; ELECTRICITY DEMAND;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on data mining, the main impact factors of urban life water consumption are made gray relational analysis with the water consumption. The main driving factors of urban life water consumption are discussed. By the gray forecasting of the development trends of the main impact factors, a grey prediction of GM (0, N) model on urban life water is established. An instance proves to fit the data better. The model is based on the short and medium term forecasts of urban population and per capita disposable income to predict the urban life water annual consumption. Finally, the recommendations and effective measures to mitigate the urban water crisis are proposed.

引用

页码：2913 / 2918

页数：6