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References

1 
P. Wang, N. Bešinović, R. M. P. Goverde, F. Corman, Sept 2022, Improving the Utilization of Regenerative Energy and Shaving Power Peaks by Railway Timetable Adjustment, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 9, pp. 15742-15754DOI
2 
Q. Zhang, Y. Zhang, K. Huang, I.A.Tasiu, B. Lu, X. Meng, Z. Liu, W. Sun, Sept 2022, Modeling of Regenerative Braking Energy for Electric Multiple Units Passing Long Downhill Section, IEEE Transactions on Transportation Electrification, Vol. 8, No. 3, pp. 3742-3758DOI
3 
H.S. Jung, 2022, An Optimal Charging and Discharging Scheduling Algorithm of Energy Storage System to Save Electricity Pricing Using Reinforcement Learning in Urban Railway System, J. Electr. Eng. Technol, Vol. 17, pp. 727-735DOI
4 
C.M. Yun, G.J. Cho, H.C. Kim, H.S. Jung, 2022, A Study on the Train Brake Position-Based Control Method for Regenerative Inverters, EnergiesDOI
5 
H.S. Kim, 2015, A Study on Peak Power Forecasting and Optimization in Urban Railway System Using Neural Network Model and Source Impedance Control, Doctorate Inha UniversityGoogle Search
6 
H. Douglas, C. Roberts, S. Hillmansen, F. Schmid, 2015, An assessment of available measures to reduce traction energy use in railway networks, Energy Conversion and Management, Vol. 106, pp. 1149-1165Google Search
7 
2014, IEC Standard for Railway applications – Supply voltages of traction systems, IEC 60850Google Search
8 
J.B. Lee, N.G. Jung, J.M. Kim., 2016, An Experimental Study on Operation Setting Optimization of Circuit Breaker for Improving Safety on DC Railroad Feeder System, The transactions of The Korean Institute of Electrical Engineers, Vol. 65, No. 3, pp. 526-531DOI