Theory of Grey Systems and its Application in Electric Load Forecasting

被引：0

作者：

Ji Peirong ^{[1
]}

Chen Juan ^{[1
]}

Zheng Wenchen ^{[1
]}

机构：

[1] China Three Gorges Univ, Coll Elect Engn & Informat technol, Yichang 443002, Peoples R China

来源：

2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年

关键词：

grey system; GM(1,1) model; Unbiased GM(1,1) model; load forecasting;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the basic concept of the grey system theory and the modeling of the grey system are introduced briefly. Based on the analysis of the characteristics of GM(1,1) model, Unbiased GM(1,1) model is proposed here. The comparison of GM(1,1) model and unbiased GM(1,1) model is given, the results of comparison show that Unbiased GM(1,1) model is better than GM(1,1) model. In the final part of the paper, Unbiased GM(1,1) model is used to do electric load forecasting.

引用

页码：758 / 762

页数：5

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