Maintaining a stable power supply for industrial facilities in modern conditions, especially in the context of war and energy instability, is critically important. Highlighting the need to forecast electricity consumption and develop effective models to manage energy efficiency at the country level is a key step in solving this problem. One of the control components of energy efficiency management processes is the ability of the actual level of energy efficiency. The purpose of this study is to build a model of the power consumption of the compressor station of the enterprise for the production of dairy products in order to assess the actual level of its energy efficiency The considered approaches to modeling and analysis of electricity consumption based on mathematical modeling and statistical methods confirm the relevance and potential effectiveness of such strategies. The approach used in the study to analyze electricity consumption at industrial facilities, in particular the application of regression analysis, is promising for forecasting and optimizing energy efficiency at enterprises of various profiles. The constructed model of power consumption of the compressor station at the enterprise for the production of dairy products is an important basis for ensuring the appropriate level of energy efficiency of the industry. The results of the analysis of the electrical balance and the use of statistical analysis methods, in particular the regression approach, confirm that productivity is the main factor that determines the level of electricity consumption. The proposed mathematical model makes it possible to effectively forecast electricity consumption based on equipment parameters. Graphical comparison of actual and calculated indicators confirms the accuracy of the model and its possible use for optimizing energy efficiency at industrial facilities.

electricity consumption model, compressor station, industrial facility, regression analysis

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