This article is devoted to the analysis of the geographical structure of the world energy industry. The article analyzes trends in global energy production and consumption from 1990 to 2018. Statistical indicators of energy production and consumption are also considered. The study notes that the leading countries in GNP production are the largest energy consumers in the world. The authors consider the issues of distribution of production and consumption of energy resources across the world, changes in the relationship between the leaders in primary energy production and energy consumption. Electricity consumption and production by regions of the world are considered, and the share of global energy intensity of energy by fuel type is determined. In addition, the article analyzes the world consumption of natural gas and coal, as well as its extraction. Changes in world demand for petroleum products and their consumption are considered.

The article is devoted to the research of the structure of electricity generation by different resources on the territory of Russia. The article describes the impact of the development of the energy industry on the economy and welfare of the country as a whole. The types of energy resources needed for generating various types of energy are considered. An overview of the current state of Russia’s energy balance is performed. Also considered is the degree of use in the fuel and energy complex of both non-renewable energy sources, which are traditional energy, and renewable sources that develop the direction of alternative energy, which aims to reduce the harmful impact on the environment. The analysis of the use of energy resources directly in the manufacture of electricity identified the share of use of each type of energy resource and comparison performed a number of advantages and disadvantages in the use of these resources.

A person is responsible for quality control of the purchase forecast of commercial enterprises, which entails a number of certain consequences. In this regard, we decided to create an intelligent system that will determine the quality of the forecast. Such a system will be a human assistant in deciding on the quality of the forecast. The system will also be able, if necessary, to indicate the necessary adjustments for its forecasting method. As part of this work, a software product will be created that will determine the quality of the created trade procurement plan, and, if necessary, help the user adjust the forecasting method used by the outlet. The aim of the work is to create an intelligent procurement system that will generate its forecast using a neural network, and then determine the forecast error using XYZ analysis.

The reliable operation of an induction melting furnace directly depends on the quality of its lining. The final operation in the manufacture of the lining is to carry out the developed sintering regime. The sintering quality is influenced by many factors, for example, the quality of the material used for manufacturing, compliance with the manufacturing process of the lining itself, and others. Therefore, it is necessary to monitor compliance with the sintering mode of the lining. The easiest option is a sintering schedule. Based on this, the article considers an application that builds a graph of temperature changes with the number of points specified by the user. When plotting the temperature changes in the melting furnace, the program has the opportunity to enter the data that were recorded earlier in order to see how the system worked. The program allows specialists to use it in the work process to predict the operation of the melting furnace on the basis of which it is possible to make adjustments to the work process in order to avoid emergency situations for people to work. In addition, it makes it possible to ensure the efficiency of reproduction of the main foundry production assets.

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