In the context of Catalysis, ARIMA can be instrumental in:
Predicting Reaction Rates: By analyzing historical reaction data, ARIMA can forecast future reaction rates, which is crucial for optimizing catalytic processes. Process Optimization: The model helps in identifying the optimal conditions for catalytic reactions, thus improving efficiency and yields. Fault Detection: Anomalies in the catalytic process can be detected early by comparing real-time data with ARIMA forecasts.
