The article proposes a new approach to organizing systemic studies of energy, taking into account modern trends in digitalization digital twins and digital images. It is proposed to apply, as their basis, developed at the Institute of Energy Systems of the SB RAS the mathematical models of energy systems and the software systems, used for calculations using these models. Ontological engineering of the subject area and research tools will allow to build, for each research area, integrated mathematical and ontological models. These models will become the nucleus of digital twins in studies of the functioning of energy systems and the nucleus of digital images in studies of the development of the fuel and energy complex (FEC) that combines these energy systems. To support hierarchical research using a new approach, an IT infrastructure based on the use of modern information and intelligent technologies is proposed.

Long-term forecasting of energy demand is an important fundamental part of research in the development and adoption of strategic decisions in the field of energy and economic security. An integral part of the methodology for long-term forecasting of energy consumption is the identification, analysis and study of the influence on the volume and structure of energy demand a factors and relationships in the energy sector and the economy. The use of digital technologies related to monitoring, obtaining, processing large amounts of data in all areas of the economy and people's lives today already consumes more than 5% of the world's electricity and its further growth is expected. The article analyzes use perspective the main digital technologies in different sectors of the economy. We present estimates of their influence on the different energy demand carriers. There is great uncertainty in estimates of prospective energy consumption, depending on possible government policies, changes in the lifestyle, the speed of development and implementation of technical innovations.

The article discusses the prerequisites for the implementation of a joint project planned by the teams of the Institute of Energy Systems named after L.A. Melentyev SB RAS (Russia, Irkutsk) and the International Institute for Applied Systems Analysis (IIASA) (Laxenburg, Austria). It is of interest to compare the approaches to resilience studies developed at ISEM SB RAS and IIASA. The definition of different types of resilience, considered in international practice, is given, the studies of the field of energy and environmental safety and quality of life in RF are analyzed. On the Russian side, it is planned to carry out a project for the Baikal natural territory, partially including the territory of the Irkutsk region, the Republic of Buryatia and the Zabaikalskiy region. Intelligent information technologies developed in the ISEM SB RAS team of scientists will be applied, based primarily on the methods of cognitive and probabilistic (based on Bayesian trust networks) modeling.

The development of modern information technologies leads to a constant increase in complexity, which in general sets the tendency to search for special methods for modeling complex control systems. The article proposes a new approach to building a complex information system for managing the state budget on the basis of a stratified approach. The author has developed a four-level formal model of the state budget management system, provides a compromise description of the model of multilayered multi-interaction of controls, simultaneously combining simplicity and ensuring the integrity of a complex system. The presented descriptions of the stratified model of management activity can be used to conduct further research related to the assessment of indicators characterizing various properties of complex systems in public administration, the choice of the optimal structure of management systems and the optimal values of their parameters.

The article deals with problem of heterogeneous multivariate data analysis in multi-sensor systems. The structure of data analysis process in various levels of their representation is described, and the role of visual analytics and cognitive modeling as a basis for its realization is discussed. A review of present methods of visual analytics and cognitive modeling is provided, and the actual lines of development of these approaches are specified.

The possibility of calculating the assessment functions by the integral indicators of the state of systems using the vector model of data presentation is justified. Also, the procedures of GIS technology for assessing and mapping hazard crisis situations are implemented. Comprehensive accounting of heterogeneous natural and socio-economic information about the study area and the applying of environmental adjustments for each location are features of the proposed methodology. Relations of the reliability theory as functions of the characteristics difference of the territorial objects state and their environment are used as assessment criteria. The indices of state and environment are calculated by the method of principal components according to indicators automatically taken in vector maps layers using a regular grid of points. The territorial assessment and mapping of the crisis situations hazard are carried out on the example of the Slyudyanka district of Irkutsk region.

The article discusses the features of biomedical data and their influence on the choice of classifiers in the development of the ensemble of models. All biomedical data are conventionally divided into five groups, so they can have a different nature, and scaling is necessary for their systematization. The article also presents several features of biomedical data. Biomedical features have a direct impact on the choice of ensemble formation method (depending on the desired results), as well as on the choice of classifiers included in the ensemble. The following classifiers are presented in the article: correlation analysis, associative rules, Kohonen maps and decision trees. Thus, the features of the input data during the formation of the ensemble must be considered at the initial stage in order to avoid further errors when working on the ensemble and interpretation of the results.

In our time, the problem of industrial safety is especially common in enterprises. Man-made disasters have a significant negative impact on all areas. Analysis of the statistical data of accidents observed on the territory of Russia that occurred at various facilities in the last ten years, showed that 60% of them occurred due to personnel errors [1]. A virtual simulator can be used to improve the skills and evaluate the effectiveness of staff training. The report discusses the possibility of training and ways to assess the effectiveness of staff training using a virtual simulator implemented on the basis of the VE CAVE system using the Unity 3D Engine. The approach to the creation of the virtual simulator structure is considered. The principle of collecting and processing statistics for staff development is considered.

An approach to the development of a controlled model of the dynamics of health status and health-related quality of life of patients with chronic mercury intoxication using traditional drug treatment, supplemented by neurorehabilitation technology (BOS-training) is proposed. The optimal control problem is set and numerically solved in order to improve the health and quality of life of such patients. The results of numerical experiments, scenarios of changes and optimal modes for different initial States are presented. The results obtained allow us to estimate the costs of drug treatment and rehabilitation of biofeedback training depending on the exposure of mercury load, causing the severity of the disease, as well as to identify the dynamics of the health of patients with a possible change in the control effects, taking into account the limited financial resources. The vector of further research is substantiated.

The paper presents the use of design information in the development of control programs for machines with numerical control. The presented scheme is a standard use of engineering 3D models and drawing in the system through the design, requirements on electronic design documentation. The features of practical creation and use of 3D-models are considered

Currently, the quality of higher education is characterized by employment opportunities based on the results of its receipt. Starting with the enrollment of applicants in universities, ending with successful employment, students need help. The decision support system acts in this study as a means to achieve successful completion of training, and, subsequently, employment.