NSPLformer: exploration of non-stationary progressively learning model for time series prediction
Abstract Although Transformers perform well in time series prediction, they struggle when dealing with real-world data where the joint distribution changes over time. Previous studies have focused on reducing the non-stationarity of sequences through smoothing, but this approach strips the sequences...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-13680-2 |
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