Sangwon Lee 
- (2024): Latent Space-Based Likelihood Estimation Using a Single Observation for Bayesian Updating of a Nonlinear Hysteretic Model. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 10, n. 4 (Dezember 2024).
- (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 (Oktober 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 (Juni 2023).
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