Physical knowledge on historical data matters more than enforcing physical constraints on the forecast

A machine learning study finds that incorporating physical knowledge into historical training data improves forecasting more than hard-coding physical constraints into the model.

Auto-scored: This is a methodological machine learning paper with no direct AI risk or mitigation implications.