Баринов И. А. Интервальное прогнозирование динамики удельного расхода электроэнергии на тягу поездов в контексте развития технологии рекуперации энергии [Электронный ресурс] / И. А. Баринов, В. С. Иванов // Молодая наука Barinov I. A.: Interval Prediction of Train Traction Electrical Energy Rate Dynamics for Energy Regeneration Development [Digital resource] / Igor A. Barinov, Vladislav S. Ivanov // “Young Science of Siberia”: digital scientific journal. – 2018. – № 2. – Access mode: http://mnv.irgups.ru/toma/11-2018, free. – Title from the screen. – Languages: Russian, English (appeal date: 08.10.2018)
The article presents results of train traction electrical energy rate interval prediction for Russian railway transport. The research is based on preliminary data collection on energy consumption statistics for the preceding ten years, courtesy of JSCo RZD. Using polynomial line trend method, root mean square deviation and error approximations are calculated. The final calculations are used to present pessimistic, conservative and optimistic scenarios of future train traction energy rate reduction on Russian railways.
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