A robust multi-location evaluation of a machine learning framework for wind power forecasting
Fig 24
Cross-location generalization capacity of ML models obtained from the tabulated results.
Bars represent mean R² (± SD) when models are trained on one location and tested on various sites, emphasizing the provisional transferability of RFR, XGBoost, and SVR variations through environments.