Improving the accuracy of methods for forecasting power consumption in the railway power supply management system
https://doi.org/10.46973/0201-727X_2024_4_87
Abstract
Effective management of the energy complex of railway transport requires the prompt processing of large amounts of information coming from an automated commercial electricity metering system. Forward-looking estimates provide basic information for decision-making on power consumption planning. The accuracy of forecasts of electricity consumption determines the efficiency of managing the energy complex of railway transport, as well as ensures savings of electric energy and reduction of costs for its purchase, since the rules of operation of energy markets establish the obligation of consumers to accurately plan the volume of electricity consumption. Thus, the relevance of the work lies in improving the accuracy of methods for predicting electric energy consumption using modern information processing technologies, which provide dispatching personnel with the opportunity to select and implement effective algorithms for planning electricity consumption issued by the system, which will significantly improve the quality of power consumption management of electrical installations in railway transport.
About the Authors
A. S. Manikovsky
Zabaikalsk Rail Transport Institute, Branch of Irkutsk State Transport University (ZRTI IrSTU)
Russian Federation
Russian Federation
Manikovsky Andrey Sergeevich, Chair «Power Supply», Senior Lecturer
D. A. Yakovlev
Zabaikalsk Rail Transport Institute, Branch of Irkutsk State Transport University (ZRTI IrSTU)
Russian Federation
Russian Federation
Yakovlev Dmitriy Aleksandrovich, Chair «Power Supply», Candidate of Technical Sciences, Associate Professor
A. Yu. Mukhopad
Irkutsk State Transport University (IrSTU)
Russian Federation
Russian Federation
Mukhopad Aleksandr Yurievich, Chair «Automation of Production Processes», Doctor of Engineering Sciences, Professor
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Review
For citations:
Manikovsky A.S., Yakovlev D.A., Mukhopad A.Yu. Improving the accuracy of methods for forecasting power consumption in the railway power supply management system. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2024;(4):87-93. (In Russ.) https://doi.org/10.46973/0201-727X_2024_4_87
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