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The article assesses the influencing factors for electric power consumption for the needs of the electric locomotives of the 2ES6 series, statistical models for normalizing the electric power consumption for own power have been generated, and their quality has been assessed.

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.

The article considers the current situation regarding the organization of control over the use of traction and energy resources of JSC «Russian Railways». The main provisions of the proposed method are stated. The influence factors on the specific electric power consumption of electric locomotives of series 2ES6 and VL10, as well as the evaluation of the quality of the constructed models of multiple nonlinear regression were estimated. New scientifically grounded technological solutions and developments are proposed that allow to reduce the specific consumption and unproductive losses of electric energy within the boundaries of the railway accounting areas.

The article analyzes the results of the assessment operating time and power consumption of compressor equipment service locomotive depo Moscow West-Siberian Railway. The algorithms for data preparation for modeling and evaluating the efficiency of the production process are presented. The main factors influencing the power consumption of the compressor equipment are determined and the results of the assessment of their influence are presented. On the basis of the dependences obtained, a mathematical model of the process of power consumption of compressor equipment using fuzzy neural networks and its accuracy is determined. The interface of the developed program complex is presented at an estimation of influence of factors on process of power consumption of the equipment service locomotive depo Moscow West-Siberian Railway.

The article contains the main provisions of the methodology for determining the indicators of electric locomotives energy efficiency. The results of indicators calculations for electric locomotives of series 3ES5K, EP2K and 2ES6 are presented with reference to the current sections of railways. The proposed approach can be used to establish the level of energy efficiency of various series of electric rolling stock and their objective comparison when operating at different sites with trains of various masses with the aim of further creating an automated system for optimizing the use of traction resources of JSCo Russian Railways.