Digital transformation of energy management systems on railway transport
Serk Mukhambetov, Irina Popova, Igor Danilov, Vadim Koscheyev
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- https://doi.org/10.2991/icdtli-19.2019.68How to use a DOI?
- railway transport, energy consumption, digital transformation, digital technologies, digital model.
- Digital transformation of railway transport management systems opens new opportunities allowing to improve efficiency of rail shipments being one of the main modes of transportation for various industries and for passenger transportation as well. Practical implementation of dynamic energy management principles is one of the most important directions of transport sphere digital transformation. This article is addressing the procedure of railway transport energy management within targeted time frame on the basis of developed algorithms and models which may be used as a keystone for implementation of digital tools for power supply systems management. The paper is proposing to evaluate efficiency of controlling actions from the viewpoint of (i) aggregate damage minimization by means of mathematical modeling of forecasting processes and (ii) damage assessment in the entire time interval. As a result, criteria of prediction accuracy and basic parameters influence thereon have been defined. The paper describes methods to select facilities for energy management and derives mathematical models enabling the researcher to fairly disclose specific features of electrical power consumption on railway transport on the basis of implementation of energy management digital algorithms.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Serk Mukhambetov AU - Irina Popova AU - Igor Danilov AU - Vadim Koscheyev PY - NaN/NaN DA - NaN/NaN TI - Digital transformation of energy management systems on railway transport BT - International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019) PB - Atlantis Press UR - https://doi.org/10.2991/icdtli-19.2019.68 DO - https://doi.org/10.2991/icdtli-19.2019.68 ID - MukhambetovNaN/NaN ER -