THE MODEL FOR FORECASTING SALES OF ENERGY SUPPLY SYSTEMS BASED ON RENEWABLE ENERGY SOURCES
Abstract
Building an effective model for forecasting sales of products (works, services) allows enterprises to achieve the desired level of competitiveness. It is determined that the most relevant for industrial enterprises, engaged in the sale of energy supply systems based on renewable energy sources, are economic and mathematical methods that take into account the seasonality factor. The purpose of the article is to build a model for forecasting sales of energy supply systems based on renewable energy sources. The main research method is correlation and regression analysis. The article substantiates a model for forecasting the sale of energy supply systems to economic agents by industrial enterprises, which is based on determining the functional relationship between the seasonality factor (seasonal component, harmonic component of the model) and the objective function of ensuring an effective time sequence of management decisions/measures and which, unlike the existing ones, takes into account the duration of the seasonality factor, which increases the efficiency of management decisions by optimizing the time lag between their adoption and implementation. As a conclusion, the elasticity coefficient for energy saving costs in order to ensure the competitiveness of industrial enterprise products reaches 100 times the value.
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