Air quality prediction based on factor analysis combined with Transformer and CNN-BILSTM-ATTENTION models
Abstract This study presents an innovative air quality prediction framework that integrates factor analysis with deep learning models for precise prediction of original variables. Using data from Beijing’s Tiantan station, factor analysis was applied to reduce dimensionality. We embed the factor sco...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-03780-4 |
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