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We designed and executed a artificial-knowledge-era procedure to further more Examine the performance on the proposed model in the existence of different seasonal factors.

A solitary linear layer is sufficiently robust to model and forecast time series data provided it's been properly decomposed. As a result, we allocated a single linear layer for every part In this particular research.

We produce a time series with hourly frequency that includes a day-to-day and weekly seasonality which comply with a sine wave. We show a far more authentic entire world example afterwards inside the notebook.

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