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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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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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 |
id | doaj-art-4ff86c433e90407a8e5fe376fa62430d |
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 |