The scientific article gives definitions of such terms as “public service advertising”, “discourse of public service advertising”. It also includes their descriptions, peculiarities and the sphere of their application. The article defines the goals and objectives of public service advertising, analyzes the classification of social advertising. The scientific article analyzes some scientific works of scholars who studied social advertising as communicative phenomenon, as well as the characteristics of social advertising that reflects society’s culture and its life.

The article shows the diverse interest of researchers in the notion of "discourse" in connection with the relevance of developing linguistic theories for studying the Internet, cognitive categories, variability and hypertextuality as internal features of discourse.

Basic problem: the Republic of Kazakhstan is a platform for implementing innovative projects in all spheres of the economy, providing the younger generation with resource centers, technological parks, agricultural equipment, industrial technologies and scientific and educational complexes. The main goal of such actions is to activate scientific research, increase the technological potential of the industrial sectors of the national economy, and stimulate the development of innovative activities in the field of research and development. The problems of developing an entrepreneurial culture are a cornerstone issue that combines a combination of motivational principles for generating and promoting ideas, activating youth entrepreneurship as the flagship of the future economy, and a complex epidemiological situation in the world that hinders not only the development of entrepreneurship, but also the course of all socio-economic processes in society. Purpose: The purpose of this study is to identify the problems of youth entrepreneurship and find ways to solve them in accordance with the principles and methods of implementation, including the unit economics. Methods: the research Area focuses on economic modeling techniques that are successfully used in international practice to determine the profitability of business models, taking into account the effect of the production of a unit of goods / services or a single client / customer. The implementation of this approach is facilitated by the use of traditional methods of scientific research, such as analysis, comparison, and a graphical method for visualizing the results obtained; quantification method and parametric method as an evaluation tool that allows formalizing the procedure for evaluating the performance of unit economics models. Results and their significance: when considering business models in relation to youth entrepreneurship, attention is paid to the skills and competencies that students who study the disciplines of the entrepreneurial block in higher education receive. The proposed methods of unit economics are actively used in the development and promotion of startups, as an integral part of business plans. It is concluded that youth business has started to play a crucial role in solving socio-economic problems, such as creating new jobs and reducing the unemployment rate, and training qualified personnel. The set of proposed measures provides additional opportunities and increases the influence of youth entrepreneurship, which becomes the basis for unlocking its potential.

The present stage of development of power systems is characterized by the need to increase their intelligence, that is, the formation of an environment capable of solving the problems of effective management of all components included in the power system. One of the features of modern energy systems is an active consumer, that is, a consumer who has the opportunity to optimize the schedule of loading their capacities, planning energy consumption, intellectualization of energy consumption. In addition to the fact that there are digital systems for collecting, processing and presenting information, as well as transmitting this information via the Internet, to solve the most difficult task of managing power systems, it is necessary to develop a large number of models adequate to real processes that can describe the processes taking place in the power system under consideration. The purpose is to develop models capable of adequately describing the interrelated processes occurring in the considered elements of the power system, as well as in the aggregate of related elements; development of methods that allow solving problems of effective control of elements of energy systems on the basis of the proposed intelligent models. To solve the problem of increasing the intelligence of the power system, nonlinear adaptive models of electrical complexes of an energy-intensive enterprise included in the power system were developed on the basis of balance equations and artificial intelligence methods. The production of alumina with the properties of inertia, nonlinearity and closure is chosen as the production under consideration. This type of production was chosen as the most difficult to predict due to the unpredictability of changes in energy consumption during the transition to other modes of its operation, associated, for example, with the receipt of raw materials with a different chemical composition for processing. Static and dynamic models of energy consumption of electrotechnical complexes with continuous inertial nonlinear closed production based on artificial intelligence methods have been developed, which makes it possible to eliminate the need to use long time series of retrospective data. For the considered type of continuous energy-intensive production, dynamic characteristics of energy consumption and technological processes are obtained from the main controlled parameters, which make it possible to predict emergency situations and partly man-made disasters. On the basis of a genetic algorithm, a multiparametric optimization problem of energy management of continuous production has been solved, taking into account technological parameters and cost factors.