STFformer: An Effective PM2.5 Prediction Model-Reference-Cited by-同舟云学术

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STFformer: An Effective PM2.5 Prediction Model

Published:2024-05-25 Issue: Volume:34 Page:5131-5136
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
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Author:

Zhang Guangpei¹,Niu Dan²,Wang Hongbin³,Tang Yuanqing²,Zang Zengliang⁴,Huang Qunbo⁵

Affiliation:

1. Southeast University,School of Software,Nanjing,China

2. Southeast University,School of Automation,Nanjing,China

3. Nanjing Joint Institute for Atmospheric Sciences,Key Laboratory of Transportation Meteorology of China Meteorological Administration,Nanjing,China

4. PLA University of Science and Technology,Institute of Meteorology and Oceanography,Nanjing,China

5. 93110 Troops People's Liberation Army,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587392.pdf?arnumber=10587392

Reference17 articles.

1. Forecasting urban PM10 and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF–Chem CO tracer model

2. Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model

3. Mathematical statistics and data analysis;RICE;Cengage Learning,2006

4. Support vector machines

5. Short period PM2.5 prediction based on multivariate linear regression model

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