RBF-SVR Significantly Outperforms Tree-Based Models for Weather-Sensitive Air Conditioning Load Prediction Under Extreme Conditions
Accurate air conditioning (AC) load prediction under extreme weather conditions is critical for power grid stability and energy management. While tree-based ensemble methods such as XGBoost, LightGBM, and Gradient Boosting have become the dominant paradigm in short-term load forecasting, their effectiveness for weather...