1. APPLICATION OF THE REGRESSION MODEL IN DETERMINATION OF THE RELATION BETWEEN THE QUANTITY OF PRODUCTION, IMPORT, EXPORT AND AVAILABILITY OF ELECTRICAL POWER AND ITS FINAL CONSUMPTION IN CROATIA.
- Author
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Radman-Funarić, Mirjana
- Subjects
ELECTRIC power consumption ,ELECTRIC power exports & imports ,ELECTRIC power production ,REGRESSION analysis ,RENEWABLE energy sources - Abstract
In the framework of promotion of energy efficiency and renewable energy sources in Croatia it is aiming at achieving the objectives of energy policy that includes sustainable energy development, energy supply security and competitiveness of energy systems. In order to make a final conclusion it is necessary to identify the key factors and by scientific evidence minimize conflicting opinions in the pricing of fuel, limiting climate change and the use of various forms of energy, the possibilities of import or export of energy, all in accordance with national interests. Although the consumption of electricity in Croatia is small, inefficient usage of electricity brings structure of its available resources into a state of exhaustion. In the paper, but not entering in the structure of production and consumption, by applying regression models, the relationship between the amount of production, imports, exports and the availability of electricity to its final consumption in the Republic of Croatia is determined. Descriptive statistical analysis in this paper is reduced to the determination of the analytical expression that in some sense the best presents empirical data on the variables shown for comparison. By simple linear regression model and multiple regression model the relationship between production, import and export of electricity are represented i.e. the total availability and its consumption. Based on obtained size it will be determined whether and in how much regression model is representative. The calculated parameters have provided a clear picture about the relationship between studied variables. [ABSTRACT FROM AUTHOR]
- Published
- 2013