PatchTST uses subseries patching and channel-independent Transformers to deliver significantly better long-term multivariate time series forecasting and strong self-supervised transfer performance.
The model is run with supervised PatchTST/42 to forecast 96 steps
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A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
PatchTST uses subseries patching and channel-independent Transformers to deliver significantly better long-term multivariate time series forecasting and strong self-supervised transfer performance.