Article Title
Application of the train traction electricity consumption forecasting model based on interval regression method
Journal thematic sections:
Railways rolling stock, traction of trains and electrification
Pages: 31-38
udk: 621.33
Article reference
Litvintsev V. G. , Raevsky N. V. , Larchenko A. V.
Application of the train traction electricity consumption forecasting model based on interval regression method Izvestiia Transsiba – The Trans-Siberian Bulletin,
2019, no. 3(39), pp. 31 – 38.
Abstract
The results of the train traction electricity consumption forecasting, which were obtained on the basis of existing methods and the interval regression method, was analyzed. The errors of forecasting according to three methods compared with the real electricity consumption were determined. The authors put forward the software for calculating the predicted values of electricity consumption for train traction, taking into account the operational indicators of the electrified railroad under conditions of uncertainty in the initial data.
