The article deals with the calculation of specific indicators of electricity consumption for the production of auxiliary components the technological process. Based on the results of the authors, a method for calculating the normalization of energy in the absence of source materials is proposed. In addition, the method makes it possible to determine the norms of energy consumption given the deviation of the actual values from theoretical.

The article deals with the regulation of the energy consumption of a spinning enterprise. For a certain pattern of changes in power consumption and specific power consumption, we studied the hourly performance, which determines the performance of the machine. On the basis of the predicted values of the volume of production, the norms of electricity consumption were developed, which are reflected, taking into account its specificity, the energy intensity of products. When developing the norm, a calculated static method was adopted, based on the analysis of static data for a number of previous years, on the actual consumption of electricity, the volume of output of factors influencing their change.

The article outlines options to improve the organization of steel production in the Republic of Uzbekistan in terms of any contractual relation, tariffs with the unified energy system. The agreed “flexible”, differentiated by time of day (multi-fare) tariffs allow not only to produce high-quality steel but also to organize an economically profitable “associated” production. Combined production is optimized by the criterion of maximum capital productivity at all its stages and areas. It also addressed the constraints preventing the intensive use of high-performance equipment and presented the increased tariff for consumed electricity as a criterion factor. As a result of the application of the nonlinear programming method by composing the Lagrange function, the income function of the main and auxiliary industries is maximized. Given the validity of costs, their content is disclosed. Taking into account the importance of energy resources, in a competitive market, they are considered as the most important components of production. The goal of achieving the lowest costs and maximum profits is achieved by the presence of a procedure for manipulating resources. For steelmaking production, the economically most advantageous tariff curve in the demand function T = f (c) is recommended, which will ensure uniformly elastic demand across the entire range of tariffs. This curve means a uniformly elastic demand in the whole range of tariffs, i.e. equal to proportional across the entire range of tariff reduction in the face of rising demand for products, which confirms the perfect representation of the tariff curve as a function of demand in the form of a decaying exponent. The elements of optimization are investigated, in particular, based on relative Lagrange increments. Special attention is paid to the exponential scale of electricity tariffs, providing a kind of “equally proportional” reduction of the tariff with increasing demand for manufactured products. The replacement of an exponential continuous scale of tariffs with a more convenient graded scale is also decided from the standpoint of economic tolerances, where, in the process of monitoring demand, the values of maximum tariffs can be further changed. It has been established that, at the same time, the use of an exponential scale of tariffs at enterprises with a continuous production pattern, in particular steel-smelting sections, makes it possible to ideally solve the problem of optimizing coproduction.

The possibility of using artificial neural networks of the Matlab mathematical package for predicting the power consumption of objects is considered, the parameters that affect the power consumption are studied.

The article provides an analysis of the optimization of the modes of electrical loads of energy-intensive units operating in various production modes, in particular, the mode of continuous operation of the unit, the mode of continuous operation, the mode of continuous operation of the unit with a constant hourly output, the mode of continuous operation of the unit with varying productivity, the operation of the unit in variable mode. And also measures are proposed to reduce power consumption, taking into account the technological process.