Timur R. IZMAILOVKazan State Power Engineering University (KSPEU), Kazan, Republic of Tatarstan, Russian Federation timur.izmailovvv@mail.ru ORCID id: not available
Subject. This article discusses adaptive control systems development in a changing economic environment, and approaches to risk management. Objectives. The study aims to develop a practice-oriented methodology for building a forecasting system aimed at reducing operational risks. Methods. For the study, we used mathematical modeling, and systems approach to the forecasting system architecture development. Results. The article proposes a methodology for building an intelligent forecasting system, and describes the system architecture, including modules for data collection, analysis, forecasting, and risk management. Conclusions. The integration of the forecasting system into the risk management framework is a key condition for improving the economic security of an enterprise. Forecasts based on deep learning models showed the best results, confirming the need for their implementation in the management process.
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