The 5 reference contexts in paper Trachuk (2017) “Вибір методу групового врахування аргументів як одного з перспективних алгоритмів для побудови прогнозної моделі споживання нафти в системі енергетичного балансу України // Selecting the group method of data handling as one of the most perspective algorithmes for building predictive model of petroleum consumption in the system of energy balance of Ukreine” / spz:ztu:ven:106387

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    raises crucial for sustainable economic development against the backdrop of energy saving national economy depends on energy imports, on the one hand, and rising prices for these resources. The solution to this problem is not only with ensuring energy security, but also with the level of development of regions and the quality of life of its population
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    . Forecasting of petroleum consumption in Ukraine today is an extremely important issue of strategic importance since conducted through analysis and building predictive models will be possible to develop guidelines for the efficient production and consumption across Ukraine as a whole.
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    The said research leads scientists to balance the energy balance of Ukraine, which determined the relevance of the work. In the traditional understanding of energy balance is the ratio between the extraction (production) and consumption of different types of energy resources
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    . At the heart of the development of fuel and energy balance is a set of strategic statements of economic development, the definition of forecast volumes of energy consumption, based on adopted policies to increase energy efficiency, the development of fuel and energy complex and evaluating opportunities extraction and production of fuel and ener
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    , the definition of forecast volumes of energy consumption, based on adopted policies to increase energy efficiency, the development of fuel and energy complex and evaluating opportunities extraction and production of fuel and energy, as well as the formation of areas of import-exporting policy and determine the volume of purchase and sale of energy
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    . One of the mathematical methods of forecasting is group method of data handling, which allows you to build adequate predictive models of energy consumption in the system of Ukraine’s energy balance [4].
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    One of the mathematical methods of forecasting is group method of data handling, which allows you to build adequate predictive models of energy consumption in the system of Ukraine’s energy balance
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    . By the use of a group method of data handling and by using modern software were built predictive models of petroleum consumption in the system of Ukraine’s energy balance: 1. Predictive system model, 2 lags: Y(1)= 2.2580 + 0, 7135*Y1(–1) – 0, 0.3915*Y1(–2) + 0, 1544*Y3(–1) Y(2)= 11.0662 + 0, 6253*Y2(–1) + 0, 8652*Y2(–2) – 1.0759*Y3(–2) (1) Y(3)= 6.2
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    Using group method of data handling to build petroleum consumption forecasting scenarios enabled to view advanced options for the future development of the sector of the petroleum industry in Ukraine for the next 5 years and made it possible to see clearly at that scenario can develop petroleum industry in Ukraine and were predicted important key indicators
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    . Conclusion. Through analysis of the dynamics of petroleum consumption in Ukraine and analysis of important indicators such as: petroleum production, total, mln t; petroleum consumption, with export processing, total, mln t; petroleum imports, total, mln t – prediction models were built in the sphere of petroleum industry by using the group method of data handling for the
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