A dynamic global plus component loss weighting modestly improves some decomposition-based forecasters, but the paper overstates its results and mischaracterizes PatchTST.
For nation- illness dataset, the input length is 104 and prediction lengths are {24, 36, 48, 60 }, respectively
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A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors
A dynamic global plus component loss weighting modestly improves some decomposition-based forecasters, but the paper overstates its results and mischaracterizes PatchTST.