ensemble forecast method

Ensemble forecasting is a post-processing activity that evaluates multiple forecasting models and combines them to create one forecast. The ensemble model consists of a combination of different forecast models such as ARIMA, Holt Winters, Random Walk, and Moving Average. Combining the various models increases the overall accuracy of the forecast and avoids overvaluing any peaks or valleys from a specific model.