Fig. 8
From: Boost short-term load forecasts with synthetic data from transferred latent space information
The RMSE skill score of the three forecasting models applied with the LSFE given different amounts of available target data. The RMSE skill score considers the RMSE of the forecasting model trained using the LSFE as \(RMSE_\text {method}\) and the RMSE of the forecasting model trained only on the available target data (MT_124) as \(RMSE_\text {base}\). The LSFE is applied with the around seed noise sampling strategy and the combined data combination method for the cINN, and the shift seed noise sampling strategy and the fine-tune data combination method for the cVAE