DESIGN OF INFORMATION SYSTEM ON DYNAMIC ANALYSIS OF ENERGY RESOURCES

Abstract

Active use of forecasting tools is rapidly being introduced in various areas of business and economy. This is due to the high dynamics of changes in prices for different types of goods, the unstable situation with the exchange rate, as well as various external factors that may affect pricing in the country. One of the areas of goods, forecasting the dynamics of which is an important task, is the country’s energy market. The design and development of modern software, which uses effective algorithms for analyzing and forecasting the dynamics of price changes in the energy market, will minimize price differences between suppliers of raw materials and finished products. The aim. The purpose of the article is to describe the process of designing an information system for dynamic analysis and methods of information evaluation and forecasting to determine the actual cost ratios in the energy markets of the country. The implementation of this goal involves solving a number of tasks: 1) the organization of methods for collecting analytical input data; 2) designing the logic and components of the information system using UML notations; 3) determination of the functional forecasting algorithm and its application as an optimal method of forecasting in the information system. Scientific novelty. The designed and developed solution uses complex analytical tools that allow to increase the efficiency of fuel purchase in the consumer market. This solution will minimize the cost of goods and services that directly depend on the cost of fuel or other energy resources. In conclusion, The article emphasizes that the modern market of fuel and energy resources is very poorly predicted and does not allow end users to analyze the dynamics of cost changes. All this significantly affects the cost of services and goods, which depend on the final cost of fuel. The design, development and implementation of a transparent system for analyzing information and forecasting the dynamics of changes in fuel prices will minimize costs among potential customers and make the process of regulating the cost of energy resources more transparent.