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Xinting Yang

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Open access Sep 2026

Multi-Objective Optimal Dispatch of Air Conditioning Loads Under Extreme Weather Conditions Based on Adaptive Hierarchical Aggregation

The increasing frequency of extreme weather events driven by climate change poses significant challenges to power system operation as air conditioning (AC) loads exhibit sharp surges during heat waves and cold spells, threatening both supply–demand balance and grid reliability. This study proposes a comprehensive frame...

Chuan Long, Yun-Che Su, Xin-Ting Yang et al. · 0 citations
Open access Aug 2026

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...

Chuan Long, Xin-Ting Yang, Yun-Che Su et al. · 0 citations

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