Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model

被引：5

作者：

Xu, Zhicun ^{[1
]}

Dun, Meng ^{[1
]}

Wu, Lifeng ^{[1
]}

机构：

[1] Hebei Univ Engn, Sch Management Engn & Business, Handan 056038, Peoples R China

来源：

COMPLEXITY | 2020年 / 2020卷

基金：

中国国家自然科学基金;

关键词：

ENERGY-CONSUMPTION;

D O I：

10.1155/2020/9427102

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

To predict the concentration of air pollutants accurately, conformable fractional accumulation grey double exponential smoothing and adjacent accumulation grey double exponential smoothing are proposed, respectively. A hybrid model with conformable fractional accumulation and adjacent accumulation is proposed to further improve the prediction accuracy. The hybrid model is applied to the prediction of AQI, PM2.5, and PM10. Compared with the traditional double exponential smoothing model, the new model has a higher prediction accuracy.

引用

页数：13

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