Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting

Multivariate time series forecasting has long been a research hotspot because of its wide range of application scenarios. However, the dynamics and multiple patterns of spatiotemporal dependencies make this problem challenging. Most existing methods suffer from two major shortcomings: (1) They ignor...

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Detalles Bibliográficos
Autores principales: Huang, Lei, Mao, Feng, Zhang, Kai, Li, Zhiheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838990/
https://www.ncbi.nlm.nih.gov/pubmed/35161585
http://dx.doi.org/10.3390/s22030841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838990/
https://www.ncbi.nlm.nih.gov/pubmed/35161585
http://dx.doi.org/10.3390/s22030841

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