watts can operate currently in a common power net. Also, the use of different types of energy sources in one power net can result in power dispersal. This combination of different energy sources makes it possible to instantly respond to load changes at individual sites on the one hand and poses problems in its management on the other hand.The Energorynok State Enterprise is responsible for support of the system ensuring functioning of the wholesale energy market in Ukraine [3,4]. The task of this enterprise is to perform hourly and round-the-clock planning of the operating regime of the entire combined system on the basis of optimization of operating regimes of power plants. In order to prevent peak loads, hourly and round-the-clock electricity generation planning is carried out for optimal work of energy producers. And therefore, the more accurate the forecast, the less likely is occurrence of overloads and error conditions.Intelligent power systems with an active-adaptive SMART GRID network are increasingly widely used in the European Union member-countries [5,6]. One of the tasks of such systems is planning of load distribution throughout the country, in particular, based on an analysis of all energy producers, both industrial and private.

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The presented article offers the review of means, methods and possibilities of one of the most welcomed modern information technologies – Big Data. The popularity of the technology is grounded in the work. The sources of the big data, the speed of their appearance, amounts of information in the world are examined. The main specializations of the employees for the operation in the field of the structuralized and non-structuralized data of big amounts and the significant variety are marked. The scientific and practical directions and the structure of Big Data are analyzed. The examples of the Big Data use’s technology in the world are examined. The research results of the big data, received from the Ukrainian sites, are presented in the article. The possibilities of the programming language R, as one of the leading instrumental means of the Big Data technology, were used in the work. The research aim was to define the attendance frequency’s dependence of different sites by the young people, aged from 17 to 35 years old, upon their sex, provision of job, incomes and age. The authors present the obtained results and offer directions of the activity, where they may be used.

УДК 681.03 І.Н. Вдовиченко ФОРМУВАННЯ ГРУП ДЛЯ ВИКОРИСТАННЯ МЕТОДУ ВЗАЄМНОГО НАВЧАННЯ В статті представлено метод взаємного навчання. Розглянуто показники, які впливають на формування груп. Представлені результати експерименту по формуванню схем взаємодії студентів в бригадах взаємонавчання. Для правильного підбору студентів в групи запропоновано соціометричний метод. Ключові слова: метод взаємного навчання, студенти, навчальний процес, дослідження, соціометричний метод.