DEformer: Dual Embedded Transformer for Multivariate Time Series Forecasting

Deep learning models have significantly addressed the challenges of multivariate time series forecasting. Recently, Transformer-based models which have primarily focused on either temporal or inter-variate (spatial) dependencies have demonstrated exceptional performance. These models decide whether...

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Dades bibliogràfiques

Autors principals:	Minje Kim, Suwon Lee, Sang-Min Choi
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Deep learning multivariate time series forecasting transformer dual encoder
Accés en línia:	https://ieeexplore.ieee.org/document/10710626/
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