The 2 references with contexts in paper Stepashko, Trachuk (2017) “Методологічні основи аналізу та прогнозування споживання газу в системі енергетичного балансу України шляхом використання методу групового урахування аргументів // Methodological foundations of analysis and forecasting of gas consumption in the system of energy balance of Ukraine by using the group method of data handling” / spz:ztu:ven:96699

2
Ivahnenko, A.G., Zaichenko, Y.P. and Dimitrov, V.D. (1976), Adoption decisions based on self-organization, Sov. Radio, Moscow, 280 p.
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  1. In-text reference with the coordinate start=2144
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    Construction and development of predictive models for the consumption of gas in Ukraine by using the group method of data handling and by using modern software. Analysis of recent research and publications. In
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    [2]
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    is shown the comparison as previously proposed and those developed methods for short-term forecasting of gas consumption: regression analysis, neyronnoh networks and fuzzy neural networks.

3
Volkov, A.M., Popov, B.E., Protsenko, O.D. and Potryasov, S.A. (2009), «Energy conservation, efficiency and economy of fuel and energy complex of Ukraine in general», Energy policy, No. 1, pp. 31–34.
Total in-text references: 1
  1. In-text reference with the coordinate start=2428
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    In [2] is shown the comparison as previously proposed and those developed methods for short-term forecasting of gas consumption: regression analysis, neyronnoh networks and fuzzy neural networks. Intensive development of software products aimed at predicting gas
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    [3]
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    , theory and practice modeling, forecasting processes in new ways raises the question of developing a new multi multivariate predictive model that will take into account more factors and performance unlike other predictive models.