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We designed and executed a synthetic-info-generation process to further more Examine the performance of your proposed product while in the presence of various seasonal elements.

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We create a time collection with hourly frequency that features a get more info everyday and weekly seasonality which follow a sine wave. We reveal a more genuine environment illustration later during the notebook.

We assessed the model?�s performance with true-entire world time series datasets from various fields, demonstrating the improved effectiveness on the proposed approach. We additional show that the advance above the point out-of-the-art was statistically important.

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