TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Deep models have demonstrated remarkable performance in time series forecasting. However, due to the partially-observed nature of real-world applications, solely focusing on the target of interest, so-called endogenous variables, is usually insufficient to guarantee accurate forecasting. Notably, a...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Yuxuan, Wu, Haixu, Dong, Jiaxiang, Qin, Guo, Zhang, Haoran, Liu, Yong, Qiu, Yunzhong, Wang, Jianmin, Long, Mingsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
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