The easiest way to create a benchmark of your model is to use a naive forecasting. This prediction will always use the last period as predicted. You can read about it here https://otexts.com/fpp2/simple-methods.html. once you implement it you can calculate the error of each forecasting model. If the naive forecast has lower error than your initial model you should consider to tune that model
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