15/8/2025

 15/8/2025

Building on the optimization of the rolling forecast model, I added cosine and sinine transformations based on periodicity to handle date information in time series. Verification results show that this method maintains forecast consistency across year-ends (especially for dates like 1/1/2025), effectively avoiding forecast instability caused by date code jumps.

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21/3/2025

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