Abstract

In a rapidly evolving energy environment, effective risk management is paramount to ensuring the stability and success of businesses. This article examines a systematic approach to risk management in the energy sector, emphasizing the development of strategies adapted to a specific enterprise.The study delves into the various models used in the energy sector to manage risk. Energy balance models, energy network models, economic-mathematical models, demand and production forecasting models, risk management system models, renewable energy sources (RES) models, and system dynamic models are discussed. The study proposes a comprehensive risk management system for the energy sector, including SWOT analysis, Delphi method, sensitivity analysis and simulation modeling. The approach involves a detailed analysis of internal and external factors, expert assessments and scenario testing for the formulation of adaptive risk management strategies, taking into account regional characteristics, prioritizing resistance to change, aligning them with modern industry challenges. Given the competitive and dynamic nature of the energy sector, the study uses SWOT analysis and the Delphi method as key methodologies. The results of the study emphasize the need for a comprehensive risk management system in energy. A systematic approach combining various analytical methods is proposed, aimed at maximizing sustainability and competitiveness. The decision support system, which can be built on the basis of the developed methodology, will be automatically adapted to specific enterprises, and will facilitate prompt response to changes and optimize risk management strategies. The developed concept of a systemic approach to consideration and response to risks in the energy sector offers a clear path for enterprise risk management. The integrated system proved to be innovative and effective, making a significant contribution to the improvement of risk management methodology in the energy sector. This research provides valuable information for practical applications in energy and risk management.

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