Abstract
The article presents the purpose of the study as building a mathematical model for forecasting the consumption of electric energy and power for six price categories in the power supply system of the enterprise and developing an algorithm that allows the consumer to choose the best cost of electricity. Consideration of the system as an integral complex of interacting objects was carried out from the standpoint of cause-effect relationships and mutual influence. For the analysis of scientific data, the principles of consistency, structuring, integrity, hierarchy and multiplicity were applied. The structural-functional approach allowed to study the elements (subsystems) and the dependencies between them within a single system. The study of the current state was carried out; a forecast was made of the electric consumption of the enterprise using the initial data; a mathematical model of electric energy and power was developed for six price categories; an algorithm for determining the price category was developed, which allows finding a financially profitable price category. The study can be used as the basis for consumers in the Russian Federation to choose a financially favorable price category and cost of electric energy. There has been performed an independent experimental verification of the algorithm for determining the price category, the item of expenses “payment of consumed electric energy” for the facility has been reduced. The experiment shows the practical applicability of the mathematical forecast model and the economic efficiency of the algorithm for determining the price category of electric energy.
Highlights
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Summary
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More From: Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics
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