1 |
Han-Su Kim and Oh-Kyu Kwon, “Power demand forecasting in the DC urban railway substation”, Trans. of KIEE, Vol. 63, No. 11, pp. 1608-1614, Nov. 2014. |
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2 |
Jae-Haeng Heo, Seungkwon Shin, Jong-young Park, and Hyeongig Kim, “Study on the optimal operation of ESS considering urban railway load characteristic”, Trans. of KIEE, Vol. 64, No. 10, pp. 1508-1516, Oct. 2015. |
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3 |
Jong-young Park, Jae-Haeng Heo, Seungkwon Shin, and Hyungchul Kim, “Economic evaluation of ESS in urban railway substation for peak load shaving based on net present value”, Journ. of Electr. Eng. Technol., Vol. 12, No. 2, pp. 981-987, Mar. 2017. |
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4 |
Jong-young Park, Jae-Haeng Heo, Hyeongig Kim, Hyungchul Kim, and Seungkwon Shin, “Economic evaluation of ESS applying to demand response management in urban railway system”, Trans. of KIEE, Vol. 66, No. 1, pp. 222-228, Jan. 2017. |
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5 |
Hosung Jung, Hyungchul Kim, Seoungkwon Shin, Kiyong Yoon, Jae-moon Kim, and Yang-su Kim, “Installation of power monitoring system for load pattern analysis on DC urban transit system”, ISGC&E 2013, July 2013. |
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6 |
Hansang Lee, Seungmin Jung, Hosung Jung, Hyungchul Kim, and Gilsoo Jang, “Power management for electric railway system to reduce the railway operating cost”, 2012 KIEE fall conf., pp. 411-413, 2012. |
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7 |
Long-term wind speed and power forecasting using local recurrent neural network models  |
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8 |
Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks  |
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9 |
Short-Term Residential Load Forecasting Based on Resident Behaviour Learning  |
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10 |
Dong-Ha Shin and Chang-Bok Kim, “A study on deep learning input pattern for summer power demand prediction”, Journ. of KIIT. Vol. 14, No. 11, pp. 127-134, Nov. 2016. |
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11 |
Jun-Ho Park, Dong-Ha Shin, and Chang-Bok Kim, “Deep learning model for electric power demand prediction using special day separation and prediction elements extension”, Journ. of Advanc. Navigat. Technol., Vol. 21, No. 4, pp. 365-370, Aug. 2017. |
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12 |
Jong-young Park, “Analysis of electrical loads in the urban railway station by big data analysis”, Trans. of KIEE, Vol. 67, No. 3, pp. 460-466, Mar. 2018. |
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13 |
Kyunghyun Cho, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio, “Learning phrase representations using RNN encoder-decoder for statistical machine translation”, Proc. of EMNLP 2014. |
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14 |
“Understanding LSTM Networks”, http://colah.github.io/posts/2015-08-Understanding-LSTMs/(accessed Sep. 11. 2018) |
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