Time series forecasting

The process of predicting future values of a time series using past observations and statistical or machine-learning models. Methods include ARIMA, exponential smoothing, VAR, and neural network–based approaches. Forecast accuracy is evaluated using metrics such as MAE, RMSE, and MAPE; the forecast horizon and uncertainty intervals are critical components of any forecast report.