Before revision:  The results show that feature selection is essential to achieving accurate prediction . Superior feature selection algorithms filter meaningful information, eliminate irrelevant information, and further improve the forecasting accuracy of LSTM-based deep neural networks. The proposed models obtain considerably accurate results .
After revision:  The results show that feature selection is essential to achieving accurate prediction , and features from integrated markets have an impact on prediction. The feature importance analysis implies that the German market has a salient role in the price generation of Nord Pool .