Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift

The non-stationary nature of real-world Multivariate Time Series (MTS) data presents forecasting models with a formidable challenge of the time-variant distribution of time series, referred to as distribution shift. Existing studies on the distribution shift mostly adhere to adaptive normalization t...

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Bibliographische Detailangaben

Hauptverfasser:	He, Hui, Zhang, Qi, Yi, Kun, Xue, Xiaojun, Wang, Shoujin, Hu, Liang, Cao, Longbing
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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