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Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim,Sercan Ö. Arik,Nicolas Loeff,Tomas Pfister
2019 · DOI: 10.1016/J.IJFORECAST.2021.03.012
International Journal of Forecasting · 1,909 citations
TLDR
The Temporal Fusion Transformer is introduced -- a novel attention-based architecture which combines high-performance multi-horizon forecasting with interpretable insights into temporal dynamics and three practical interpretability use-cases of TFT are showcased.
