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

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 i...

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Main Authors: Zhicun Xu, Meng Dun, Lifeng Wu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/9427102
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author Zhicun Xu
Meng Dun
Lifeng Wu
author_facet Zhicun Xu
Meng Dun
Lifeng Wu
author_sort Zhicun Xu
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-4ff86c433e90407a8e5fe376fa62430d2025-02-03T06:05:12ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/94271029427102Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing ModelZhicun Xu0Meng Dun1Lifeng Wu2School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, ChinaSchool of Management Engineering and Business, Hebei University of Engineering, Handan 056038, ChinaSchool of Management Engineering and Business, Hebei University of Engineering, Handan 056038, ChinaTo 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.http://dx.doi.org/10.1155/2020/9427102
spellingShingle Zhicun Xu
Meng Dun
Lifeng Wu
Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model
Complexity
title Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model
title_full Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model
title_fullStr Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model
title_full_unstemmed Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model
title_short Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model
title_sort prediction of air quality based on hybrid grey double exponential smoothing model
url http://dx.doi.org/10.1155/2020/9427102
work_keys_str_mv AT zhicunxu predictionofairqualitybasedonhybridgreydoubleexponentialsmoothingmodel
AT mengdun predictionofairqualitybasedonhybridgreydoubleexponentialsmoothingmodel
AT lifengwu predictionofairqualitybasedonhybridgreydoubleexponentialsmoothingmodel