Application of combination forecast model in the medium and long term power load forecast

被引：2

作者：

Zhao, Ke ^{[1
]}

Gan, Lin ^{[1
]}

Wang, Zhong ^{[1
]}

Xiong, Yan ^{[1
]}

机构：

[1] Nanchang Hangkong Univ, Coll Informat Engn, Nanchang, Jiangxi, Peoples R China

来源：

MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6 | 2012年 / 490-495卷

关键词：

power load; combination forecasts; moving average; gray model; linear regression model;

D O I：

10.4028/www.scientific.net/AMR.490-495.1362

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For seasonal and long-term power load forecasting problem, this paper presents an optimal combination forecasting method, which can optimize the combination of multiple predictive models. Optimize the combination of the two model predictions with two models as an example, which are the gray GM(1,1) model and linear regression model, and finally compare the predicted values of combination with the real values. The results show that: the combination forecasting method has a high prediction accuracy, and the error is very small.

引用

页码：1362 / 1366

页数：5

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