Research of combination of electricity GM (1,1) and seasonal time series forecasting model

被引：0
作者：
Wang Yuping [1 ]
Zheng Fangpeng [1 ]
He Kelei [2 ]
Li Chunxue [2 ]
机构：
[1] Guizhou Power Grid Corp, Guiyang, Guizhou, Peoples R China
[2] North China Elect Power Univ, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT INNOVATION | 2015年 / 28卷
关键词：
load forecasting; GM (1,1); seasonal time series; combination forecasting model;
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：
Load forecasting is one of the important content of power system. Gray GM (1,1) model with seasonal time series was proposed by analyzing the development of the electricity load forecasting. This paper made an empirical analysis of the model with data specifically related to electricity in Guizhou region in recent years. The results showed that the proposed method has a higher accuracy than a single prediction model, and proved correctness and effectiveness of the combination forecasting model.
引用
收藏
页码：261 / 267
页数：7
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