SCI: A Spectral Correlated-Variate Interaction Framework for Non-Stationary Time Series Forecasting
Multivariate time series forecasting is pivotal in real-world applications, ranging from energy consumption management and financial market trend analysis to traffic flow prediction and climate monitoring. Yet, it is critically challenged by inherent non-stationarity. The continuous temporal evoluti...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11482782/ |
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