PM<sub>2.5</sub> Concentration Prediction Based on STL-TimesNet-TimeXer Hybrid Framework
This study proposes a hybrid forecasting framework that integrates Seasonal-Trend decomposition using LOESS (the following abbreviations are referred to as STL) with two time series models, TimesNet and TimeXer. To capture the complex periodic characteristics of the PM<sub>2.5</sub> series, the orig...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2026-05-01
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| Seri Bilgileri: | Atmosphere |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2073-4433/17/6/557 |
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