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Yingfeng Wei on Muck Rack

Yingfeng Wei

As seen in: Frontiers
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Articles

An interpretable building air conditioning load forecasting framework using SSA-optimized Bi-LSTM and SHAP analysis

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By Hui Chen, Ye Tian, Guiyuan Wang, Shikang Zhang, Jiaqi Qian, Huimin Liu, Lu Dong, Yingfeng Wei, Xiongwei Yi, Gean Cui
| Frontiers
Abstract Short-term air conditioning load forecasting in industrial buildings plays a key role in energy management and carbon neutrality efforts. Yet internal disturbances, latent heat variations, and seasonal distribution shifts often hinder model generalization. Here we propose an interpretable framework that couples Sparrow Search Algorithm (SSA)-optimized Bidirectional Long Short-Term Memory (Bi-LSTM) networks with SHapley Additive exPlanations (SHAP).
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