... and feature selection, to enhance model robustness. Design/methodology/approach The proposed two-stage hybrid machine learning framework, DBSCAN-RFE-XGBoost, integrates time-series data from historical wind energy generation. In the first stage, an automated density-based spatial clustering ( DBSCAN...

... (RSM), followed by experimental validation of the modified mixture. To further enhance the prediction of CS, ML algorithms like CatBoost, Gradient Boosting, Ridge Regression and XGBoost were employed. Furthermore, the evaluation of model performance was conducted employing various metrics, which...