EconPapers    
Economics at your fingertips  
 

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

Zhicun Xu, Meng Dun and Lifeng Wu

Complexity, 2020, vol. 2020, 1-13

Abstract:

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, PM 2.5 , and PM 10 . Compared with the traditional double exponential smoothing model, the new model has a higher prediction accuracy.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/8503/2020/9427102.pdf (application/pdf)
http://downloads.hindawi.com/journals/8503/2020/9427102.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:9427102

DOI: 10.1155/2020/9427102

Access Statistics for this article

More articles in Complexity from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-03-19
Handle: RePEc:hin:complx:9427102