An Improved GM (1,1) Model on Initial Value and Its Application on Power Load Forecasting

被引：0

作者：

Li, Shuangchen ^{[1
]}

Wang, Tiantian ^{[1
]}

机构：

[1] North China Elect Power Univ, Dept Econ Management, Baoding, Herts, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION | 2015年 / 12卷

关键词：

GM (1,1) model; Power load forecasting; residual sum of squares; Initial value;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

When Calculating the parameter c of differential equations, traditional GM(1,1) model considers only the of 1-AGO, the oldest history data, resulting loss of new information to some extent. This paper gives a new way to calculate the initial value. The new model firstly establishes the function of residual sum of squares. Then it solves the equation and gives expression of parameter c. Finally, it uses the new 'c' and obtains the new formula of Predictive value. Through the example analysis, this paper proves that improved prediction model can improve prediction precision.

引用

页码：2044 / 2049

页数：6