ARIMA and SARIMA are both algorithms for forecasting. ARIMA takes into account the past values (autoregressive, moving average) and predicts future values based on that. SARIMA similarly uses past values but also takes into account any seasonality patterns. Since SARIMA brings in seasonality as a parameter, it’s significantly more powerful than ARIMA in forecasting complex data spaces containing cycles.

Spiros Sirmakessis

University of Peloponnese