DOI: 10.17587/prin.15.322-328

Development of a Method of Ensuring Control over Deviations in the Work of Automated Systems of the Enterprise on the Example of the Electric Power Industry

V. V. Antonov¹, D. Sc. (Technical), Head of Section, antonov.v@bashkortostan.ru, V. N. Shkarov², Deputy Head of Department, alteroz87@gmail.com, L. E. Rodionova¹, Associate Professor, RodionovaKF@yandex.ru, E. V. Palchevsky³, Senior Lecturer, teelxp@inbox.ru, O. N. Smetanina¹, D. Sc., Professor, smoljushka@mail.ru,
¹ Ufa University of Science and Technology, Ufa, 450008, Russian Federation
² Ufa Instrument Manufacturing Association, Ufa, 450076, Russian Federation
³ Financial University under the Government of the Russian Federation, Moscow, 109456, Russian Federation

Corresponding author: Evgeny V. Palchevsky, Senior Lecturer, Financial University under the Government of the Russian Federation, Moscow, 109456, Russian Federation, E-mail: teelxp@inbox.ru

The article deals with the development of a method for ensuring the control of deviations in the automation of business processes on the example of the system of analytical control and forecasting in the electric power industry. On the basis of this method, it is possible to build a digital twin that allows one to control deviations of the developed business process models and create a ready model of the subject area of the information system depending on changes in business processes. In the article it is realized on the example of the rule of selection of the most accurate predictive results. The performed efficiency analysis showed that the most accurate result (with an error of 8.8 %) will be displayed in the web interface of the system of analytical control and power forecasting.

Keywords: information model, deviation control method, artificial neural networks, forecasting

pp. 322—328

For citation:
Antonov V. V., Shkarov V. N., Rodionova L. E., Palchevsky E. V., Smetanina O. N. Development of a Method of Ensuring Control over Deviations in the Work of Automated Systems of the Enterprise on the Example of the Electric Power Industry, Programmnaya Ingeneria, 2024, vol. 15, no. 6, pp. 322—328. DOI: 10.17587/prin.15.322-328.

The research is carried out with the financial support of the Ministry of Education and Science of the Russian Federation as part of the basic part of the state task for higher education institutions # FEUE-2023-0007.

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