SHS Web Conf.
Volume 35, 20173rd International Conference on Industrial Engineering (ICIE-2017)
|Number of page(s)||7|
|Section||Sustainable Development of Industrial Enterprises|
|Published online||26 June 2017|
Research of the elasticity of electric energy tariff demand on competitive market of unified energy system of the Ural
South Ural State University, Chelyabinsk, Russia
* Corresponding author: firstname.lastname@example.org
The aim of the study is to analyze the youngest in the world competitive market of electric energy and power of Russia. The hypothesis that there is a significant time lag between the launch date regulated competitive energy market and the actual state of its transition to a stationary operation. To test the hypothesis covered the electric energy consumer’s reaction on tariffs changes in the UES of the Ural in the period of time after restructuring RJSC “UES of Russian Federation”. Factual data of UES of Russia’s System operator shows how indicator values of electric energy consumption elasticity changes: consuming turns from elastic to inelastic according to price. Proved that in 2014 the energy demand matches to a competitive market. As a methodical research tool used 5 types of regression analysis equations for time series of electricity consumption, in addiction by the rate of the day-ahead market for 2009-2014. The research found that the transition to a competitive market of electricity production in Russia in fact was didn’t carried out in 2008, but was carried in 2014. Research proved that the electricity market regression analysis applied in predicting short periods of time (day-ahead market), because by increasing the time interval of forecasting accuracy of the forecast is decreases. The research results have great practical significance for the power industry subjects, especially those with high energy intensity of production, as the increase in the accuracy of forecasting reduces fines and total costs for electricity.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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