Sangwon Lee 
- (2023): Interpretable deep learning model for load and temperature forecasting: Depending on encoding length, models may be cheating on wrong answers. Dans: Energy and Buildings, v. 297 (octobre 2023).
- (2023): Performance evaluation of deep learning architectures for load and temperature forecasting under dataset size constraints and seasonality. Dans: Energy and Buildings, v. 288 (juin 2023).
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