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