Before revision:  The proposed methodology is able to consistently outperform the baseline LSTM model, and it achieves competitive results on benchmarking datasets , in particular outperforming all other methods on the CIF2016  dataset.
After revision:  The proposed methodology is able to consistently outperform the baseline LSTM model, and it achieves competitive results on benchmarking datasets , in particular outperforming all other methods on the CIF2016 forecasting competition dataset.