P2D-former for time-series forecasting with period-aware 2D representations and exogenous covariates
Abstract Time series forecasting finds extensive application across numerous real-world scenarios, yet faces challenges in modelling multi-period variability and exogenous variables. To address this, this paper proposes P2D-Former, a patch-based Transformer model integrating period-aware 2D structur...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2026-04-01
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| Серія: | Scientific Reports |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1038/s41598-026-45499-w |
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