Grey Prediction Model of Power load based on Exponential Smoothing Improvement

被引：0

作者：

Wu, Di ^{[1
]}

机构：

[1] Sch North China Elect Power Univ, Baoding 071000, Peoples R China

来源：

GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I | 2017年 / 1864卷

关键词：

D O I：

10.1063/1.4993024

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Grey system theory has the advantages of needing little sample data and calculating no characteristic quantity; it is widely applied in power load prediction; but it has certain limitation the larger the data discretization degree is, the larger the gray scale is and the larger the influence on prediction precision is. The paper improves original data of grey prediction by exponential smoothing to reduce data fluctuation and improve prediction precision.

引用

页数：3