Статті КФУ
Permanent URI for this collection
ENG: Articles
Browse
Browsing Статті КФУ by Author "Hilorme, Tetiana"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Assessment of Energy Security of Ukraine in the Implementation of Renewable Energy Technologies(Національний університет «Полтавська політехніка імені Юрія Кондратюка», 2022) Hilorme, Tetiana; Nakashydze, Liliya V.; Liashenko, IrynaENG: The article investigates the definition of indicators of effective assessment of energy security of Ukraine in the implementation of renewable energy technologies based on SWOT analysis. Priority of implementation of technologies using energy of renewable sources on leveling of threats to energy supply of the country is defined. The scientific and methodological approach to assessment of innovative development of Ukraine in the system of energy security using a modified model of SWOT analysis is substantiated. The advantage of the model is compactness of development due to the use of a single platform and efficiency of use due to the absence of the need to reload data into a specialized system. With the help of fractal analysis, a graphical interpretation of the comparison of SWOT analysis components in the innovative development of Ukraine in the system of energy security is built. The peculiarity of the proposed model lies in the fact that the data, having both qualitative and quantitative characteristics, are subject to analysis. As a conclusion, it is proposed to carry out an economic analysis of the factors influencing the prioritization of key technologies in the Ukrainian industry.Item The Model for Forecasting Sales of Energy Supply Systems Based on Renewable Energy Sources(Сумський державний університет, 2023) Hilorme, Tetiana; Nakashydze, Liliya V.; Liashenko, IrynaENG: 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.