Predictive modeling in buildings is a key task for the optimal management of building energy. Relevant operational data are prerequisite such task, notably when deep learning used. However, not always available, case newly built, renovated, or even yet built buildings. To address this problem, we propose similarity approach to recommend relevant training target solely by using minimal contextua...

Our first comment is on the optimization of the model parameter τ controlling the amount of noise in the augmented bootstrap method. In a supervised prediction problem, τ can and should be optimized using, e.g., a cross-validation (CV) procedure, as suggested by the authors. If the prediction accuracy is itself evaluated by cross-validation or a related approach, this yields a nested cross-vali...