Prof. Kyeon Hur and Ph. D. Candidate Min-seung Ko’s paper, titled “Deep Concatenated Residual Network with Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting,” has been accepted for publication in IEEE Transactions on Sustainable Energy (IF: 7.44, Top 6% in EE category of JCR). This research proposed the concatenated residual network and Gaussian distribution-based method for the wind power deterministic and probabilistic forecasting. Mr. Kwangsuk Lee at SK Telecom, Jae-Kyeong Kim at KERI,  Ph. D. Candidate Chang Woo Hong, and Prof. Zhao Yang Dong at UNSW, Australia joined this research.