Forecast decomposition

Forecast decomposition involves breaking down a time series forecast into its constituent components, typically trend, seasonality, and residual or error components. This method helps analysts understand and model the underlying patterns and dynamics influencing the data, facilitating more accurate forecasting and decision-making.