What are the benefits of a probabilistic predictive model over ARIMA for forecasting intermittent renewable energy output?

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Ali Kamali Mohammadzadeh

Probabilistic predictive models offer several benefits for forecasting renewable energy output, such as better handling of uncertainty and non-stationary data, the ability to incorporate additional information, and handling irregular patterns.

Ette Etuk

The question is not clear because ARIMA model is itself probabilistic and not deterministic. Please clarify it better.

Arnab Majumder

Thank you @Prof. Ali.

Thank you very much, Sir. I'm keen to know about the drawbacks of using ARIMA or SARIMA to estimate the uncertain output of renewable energy.

Thank you @Prof Ette.