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Theoretical Aspects Of The Predictional Instrumentation For Application In The State Regulation Of The Participants Relationships In The Electricity Market

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  • Anastasiia Koliesnichenko

    (Department of Accounting and Analysis, National Technical University "Kharkiv Polytechnic Institute", Ukraine)

Abstract

The article presents the problems of current trends in the development of the electric power industry in conditions of increasing capital concentration, informing the economy and increasing the dynamics of the movement of significant amounts of cash flows which require a permanent analysis of the current situation and the necessary adjustment and / or modification of the parameters for the regulation of energy markets. From this article it can be concluded that the task of constructing forecasts acquires high relevance in many subject areas. It is an integral component of the daily work of modern social and economical systems. The interrelations of the subjects of the electric energy market are the one of the its most important institutions. The purpose of this article is to study the theoretical basis for the adaptive application of forecasting methods in the functioning of energy markets. In order to avoid the dominance of commercial interests of certain groups of participants in the energy market, the emergence of price distortions in the market that have a destructive effect on obtaining potential benefits from the introduction of competitive mechanisms, the key to finding the most effective and economical way to solve these problems is the use of systemic regulation of emerging deviations in achieving target milestones especially in the context of reform. The informational and analytical support formation for the performance of the functions assigned to the regulatory apparatus requires the use of forecasting methods and approaches to preserve the dynamic development of the electric energy market and to maintain the balance of interests of all its subjects in the conditions of reform. The article uses a number of methods: classification and systematization in the analysis of scientific methods for forecasting and planning social and economic processes, logical generalization when reviewing existing modeling methods and assessing their effectiveness in the energy markets, the use of a constructive approach in the study of factors affecting the resulting index. Finally the obtained theoretical and scientifically applied results of the research make it possible to formulate the necessary theoretical and methodological basis for improving the instrumental basis for modeling the relationships between the subjects of the electric energy market, which can be used in forecasting in the field of regulation of phenomena and processes in the energy markets.

Suggested Citation

  • Anastasiia Koliesnichenko, 2017. "Theoretical Aspects Of The Predictional Instrumentation For Application In The State Regulation Of The Participants Relationships In The Electricity Market," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 3(2).
  • Handle: RePEc:bal:journl:2256-0742:2017:3:2:8
    DOI: 10.30525/2256-0742/2017-3-2-59-65
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    References listed on IDEAS

    as
    1. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions," International Journal of Forecasting, Elsevier, vol. 24(4), pages 710-727.
    2. Crespo Cuaresma, Jesús & Hlouskova, Jaroslava & Kossmeier, Stephan & Obersteiner, Michael, 2004. "Forecasting electricity spot-prices using linear univariate time-series models," Applied Energy, Elsevier, vol. 77(1), pages 87-106, January.
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    More about this item

    Keywords

    the regulation; energy market; energy market participants; forecasting methods;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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