Analysis of factors affecting traction energy consumption of electric multiple unit trains based on data mining

Ren, Junhua; Qing, Zhang; Feng, Liang

doi:10.1016/j.jclepro.2020.121374

Cited by 15 publications

(1 citation statement)

References 10 publications

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“…The intelligent data analysis and empirical results were compared for validation, demonstrating that self-organizing intelligent analysis for train energy consumption analysis is feasible, efficient, and superior to empirical analysis. As its parameters are dynamic, the results of self-organizing intelligent data analysis can be easily and accurately compared with the results of independent analysis [22].…”

Section: Literature Reviewmentioning

confidence: 99%

Methodology for calculating the energy consumption of freight wagons during transportation by trains for private enterprises

Masharipov,

Gulamov,

Rasulov

et al. 2024

E3S Web Conf.

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Fuel-energy consumption is one of the key factors in choosing the optimal type of locomotives for train operations. The quantity of fuel and energy used for train transportation is significantly influenced by the parameters of wagons and the transported goods. This article recommends an algorithm and an instrumental method in the form of software complexes for calculating the amount of fuel and energy resources used by locomotives of a private transportation company for train transportation under existing conditions, taking into account the planned cargo volume. Based on this, technical and technological solutions have been developed for selecting the planned and rational type of locomotives, considering the parameters of the wagon and the transported goods, the distance of transportation and the characteristics of the railway.

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Section: Literature Reviewmentioning

confidence: 99%