Research data for neural network-based prediction of the dampened thermal power profile of multi-unit residential buildings using a peak-shaving strategy for buffer storage utilization

These are training data for a neural network CNN-LSTM model (including Input-profiles, a Polysun-file which includes the model used to generate the training data) and trained CNN-LSTM models with different parameters for the prediction of a dampened thermal power profile and the secondary r