Gross error detection in mass and energy balance safeguards data integrity by identifying anomalies or inconsistencies. This proactive approach enhances theaccuracy of energy network models, ensuring operations are safe, efficient, and economically viable. Detecting such errors is crucial to prevent misguided decisions and potential operational crises. EnetOPT employs both Global tests and measurement tests to pinpoint suspicious measurements. The required standard deviation for each measurement is auto derived from historical data.
