DSPNet: a transformer network based on multi-scale feature modeling and patch representation for long-term multivariate time series forecasting
Long-term time series forecasting plays a pivotal role in key application scenarios such as climate prediction, electricity load forecasting, and traffic flow assessment. Conventional single-architecture models—including Transformers, Convolutional Neural Networks (CNNs), and Multi-Layer Perceptrons...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
PeerJ Inc.
2026-05-01
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| Serier: | PeerJ Computer Science |
| Fag: | |
| Online adgang: | https://peerj.com/articles/cs-3812.pdf |
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