Tao Yubo, Zhang Yafei, Chen Bo, 2018, A Combined Approach for Very Short Term Wind Power Probability Forecast, in Proc. of International Conference on Power System Technology, pp. 874-880

Nana Huai, Lei Dong, Lijie Wang, Ying Hao, Dai Zhongjian, Bo Wang, 2019, Short-term Wind Speed Prediction Based on CNN_GRU Model, in Proc. of Chinese Control and Decision Conf., pp. 2243-2247

Kusiak Andrew, Zheng Haiyang, 2009, Short-term Prediction of Wind Farm Power: A Data Mining Approach, IEEE Transactions on Energy Conversion, pp. 125-136

Wang Xiaodan, Yang Yi, 2018, Deep Belief Network based Multi-dimensional Phase Space for Short-term Wind Speed Forecasting, in Proc. of Sensing, Diagnostics, prognostics and control conf., pp. 204-208

Peng Xiaosheng, Xiong Lei, Wen Jinyu, Xu Yuan, Fan Wenhan, Feng Shuanglei, Wang Bo, 2016, A Very Short Term Wind Power Prediction Approach Based on Multilayer Restricted Boltzmann Machine, in Proc. of IEEE PES Asia-Pacific Power and Energy Conf., pp. 2409-2413

Yeojin Kim, Jin Hur, Sang ho Park, Ja-Hyun Baek, Young-do Choy, Soonho Choi, Donghoon Jeon, 2019, An Advanced Techniques on the Power Output Forecasting Model of Wind Generating Resources (WGRs) based on Statistical Learning, in Proc. of The Korean Institute of Electrical Engineers Summer Conf., pp. 261-262

Dreamgonfly, , https://dreamgonfly.github.io/rnn/2017/09/04/understanding-rnn.html

Olah Christopher, , https://colah.github.io/posts/2015-08-Understanding-LSTMs/, colah’s bolg

Wi Young-Min, 2016, A Study on Centralized Wind Power Forecasting Based on Time Series Models, The Transactions of The Korean Institute of Electrical Engineers, Vol. 65, pp. 918-922

Wang Sen, Sun Yonghui, Zhai Suwei, Hou Dongchen, Wang Peng, 2019, Ultra-Short-Term Wind Power Forecasting Based on Deep Belief Network, in Proc. of 38th Chinese Control Conf., pp. 7479-7483

Hur Jin, BeomJun Park, 2017, The Development of the Short- Term Wind Power Forecasting System using Support Vector Regression, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, pp. 104-110

Hye-Gyeong Shin, Moon-Hwan Lee, 2011, Develop- ment of the Wind Turbine Power Prediction System Using Support Vector Regression, in Proc. of The Korean Institute of Electrical Engineers Summer Conf., pp. 20-22

Sang-Ho Lee, Seong-Bin Cho, Hae-Su Park, Jin-Young Kang, Min-ho Song, Young-Mi Lee, 2019, A study on the Prediction of Wind and Solar Generation Output in Jeju, in Proc. of The Korean Institute of Electrical Engineers Summer Conf., pp. 1245-1247

Heungseok Lee, Kyuhan Kim, Hwaseok Lee, Hyungsoo Kim, 2019, A Study on Prediction Model of Wind Power Generation Using Artificial Intelligence Techniques, in Proc. of The Korean Institute of Electrical Engineers Fall Conf., pp. 223-224

Do-Hyun Kim, Ho Jin Jo, Myung Su Kim, JaeHyung Roh, 2019, Short-Term Load Forecasting Based on Deep Learning Model, The Transactions of the Korean Institute of Electrical Engineers, Vol. 68, pp. 1094-1099