Abstract
Non-traction railway load consumes a significant amount of electricity. Russian Railways supplies electricity not only to its structural units but also to other consumers. Private houses, individual entrepreneurs and small production facilities located near the railway are powered by the RZD. It is very important for the company to plan consumption for non- traction needs. The subject of the study in the paper is a systematic approach to the planning of power consumption using the mathematical apparatus of artificial neural networks, correlation analysis and the method of expert assessments. The method of expert assessments allows identifying the most significant factors that affect the consumption of electricity. It is necessary to attract experienced professionals in the field of electricity, working at a particular enterprise. They are able to determine with a high degree of accuracy those factors that have a significant impact on the consumption of the organization. Correlation analysis allows you to mathematically check the degree of influence of a single factor on the resulting value. The apparatus of artificial neural networks allows building a forecast of power consumption, taking into account the influence of external factors. The authors propose to use a systematic approach to the planning of power consumption. It is necessary to combine three tools: the method of expert assessments, correlation analysis and artificial neural networks. The combination of these tools will improve the accuracy of power consumption planning and, as a result, will lead to increased economic efficiency due to the rational consumption of electricity.
Highlights
The consumption of electric energy (EE) is constantly increasing with the development of engineering and technology
Automated control and accounting systems for fuel and energy resources have recently developed significantly. These systems offer great opportunities, such as: 1) collection and processing of information on energy consumption; 2) formation of reports on the activities of the facility on the basis of the automated compilation of various forms and types of information documents; 3) information processing based on scientifically based methodology and decision support; 4) planning of energy consumption of enterprise facilities, monitoring and management of energy consumption
If the first two possibilities are standard for ASCAPC systems (Automatic system for commercial accounting of power consumption) and their implementation is designed by the manufacturers of these systems, than the remaining possibilities can be implemented using specially developed techniques, models and software
Summary
The consumption of electric energy (EE) is constantly increasing with the development of engineering and technology. Modern enterprises, where the energy management system functions effectively, plan the consumption of electric, thermal and other types of energy, calculate and establish norms, and make energy consumption forecasts. Such an approach to planning does not take into account the influence of various factors on power consumption, such as air temperature, routine maintenance, commissioning or decommissioning of electrical equipment, modern technical means.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
