On the Encoding of Calendar Features in Covariate-Informed Time Series Foundation Models
The study compared seven different ways to encode calendar information—like ordinal or one-hot representations—across four advanced time series foundation models using nine diverse datasets. The results show that encoding choice significantly impacts forecast accuracy, with much larger differences observed during holidays than on regular days. This suggests current model comparisons are skewed by fixed encoding strategies.