How do static and adaptive forecasting methods differ?
Answers
Explanation:
Static and adaptive forecasting methods;
Adaptive Forecasting automates the processes of data extraction, validation, and purification, allowing users to focus on evaluating and using the information contained within the forecasts rather of spending countless hours on data extraction, validation, and cleansing.
The models were studied both in their static and adaptive forms.
To estimate the generalisition performance of the forecasting models under consideration, a cross-validation approach was used.
The results confirmed the greatly enhanced forecasting performance of adaptive models in the case of the local distribution company when compared to the static model performance, although the forecasts made in the con their production, as expected.