THE FEATURES OF THE PREDICTIVE COMPUTING MODELING POWER SYSTEM LOAD IN TERMS OF REFORMING ENERGY MARKET

Abstract

The development of the country's energy system, its reform is one of the key issues not only for the development of the national economy, but also for national security. Ukraine does not stay away from the global tendencies of integration of energy systems, increase of energy efficiency, increase of the share of renewable sources in the structure of energy consumption. Therefore, the power market segment has a special place in the energy market as one of the most powerful export-oriented industries. Therefore, considerable attention is paid to the formation of an efficient electricity market infrastructure, optimization of its distribution and generation system, implementation of its rational use system and reduction of electricity prices. That is why the tasks of strategic and operational management of the load on the grid are important for both business entities and state and regional authorities. The lack of an effective sciencebased system of analysis and forecasting of grid load, generation and consumption of electricity is one of the factors that significantly impede the implementation of reforms in the energy sector. That is why the creation of a decision support system based on the predictive modeling subsystem is especially timely and relevant. The proposed system is universal and can be used in different countries of the world, as it is tailored to take into account the national peculiarities of the energy market of the country, its creation uses the experience of leading scientific institutions and energy generating companies, and its ability is tested through a large number of numerous experiments.