It does this by evaluating the prediction mistakes of The 2 styles more than a certain time period. The exam checks the null hypothesis the two designs have the exact same performance on regular, versus the alternative that they do not. In the event the check statistic exceeds a important value, we reject the null hypothesis, indicating that the real difference in the forecast accuracy is statistically significant.
We are going to have an interest in OperationalLessIndustrial which happens to be the electricity demand excluding the demand from customers from certain higher Vitality industrial consumers. We'll resample the data to hourly and filter the info to the more info identical time period as initial MSTL paper [1] which can be the initial 149 days of your calendar year 2012.
We produce a time collection with hourly frequency that features a everyday and weekly seasonality which adhere to a sine wave. We reveal a more genuine world illustration later during the notebook.
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