An Interpretable Stacking Ensemble Learning Framework for HVAC Energy Consumption Prediction
To improve prediction accuracy and interpretability in heating, ventilation, and air conditioning (HVAC) energy forecasting, this study develops an interpretable stacking ensemble framework for fan power consumption prediction in smart building energy systems. The model integrates LightGBM, XGBoost, random forest, and...