Application Optimization of Grey Model in Power Load Forecasting

被引：4

作者：

Dai, Lixin ^{[1
]}

Hu, Fangfang ^{[1
]}

机构：

[1] N China Elect Power Univ, Baoding, Peoples R China

来源：

RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7 | 2012年 / 347-353卷

关键词：

Load forecasting; Grey theory; GM (1,1);

D O I：

10.4028/www.scientific.net/AMR.347-353.301

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Article introduces the gray prediction GM (1,1) and the modeling process that first proposed by Professor Deng Julong. The system analyzes its advantages and disadvantages. With the development of electricity market, the importance of load forecasting is becoming increasingly obvious. An increasing demand for the accuracy of load forecasting is significant. The result traditional forecasting predicts has reference value and the method is mature. But some improvement is needed to improve prediction accuracy.

引用

页码：301 / 305

页数：5

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