OPTIMIZATION OF MANAGEMENT IN THE OPERATIONS OF ENTERPRISES IN THE ELECTRIC POWER SECTOR

Аннотация

This study explores modern approaches to optimizing management in electric power enterprises. It examines AI-based forecasting, digital monitoring, network infrastructure control, and strategic decision- making using integral indicators. The analysis relies on real data, visual graphs, and credible scientific sources. Findings suggest that a comprehensive management approach can significantly enhance the performance and sustainability of electric energy companies. Keywords: electric power, management, optimization, artificial intelligence, monitoring, integral indicator, digitization, networks. The modern stage of development in the electric power sector is closely linked to factors such as the digitalization of industrial production, the efficient use of energy resources, and environmental sustainability. These factors necessitate a revision of the management mechanisms of enterprises that generate and distribute electricity, and raise the need for their optimization. In particular, in a competitive market environment, ensuring the efficiency of energy production, supporting financial stability, and adapting to global environmental policies requires enterprises to adopt advanced technological and managerial approaches. Scientific research conducted in recent years has shown that systematic and integrated approaches yield effective results in the rational distribution of energy resources and in adapting enterprises to uncertain external conditions. For example, integrating electric and thermal networks enables load management and balancing of workloads at the enterprise level [1]. In thermal power plants, strategic decisions regarding whether to continue or suspend operations are made using models that integrate carbon quotas with financial risks [2]. Another important direction is the use of artificial intelligence-based forecasting models. By accurately predicting electricity loads, it is possible to optimize production plans and prevent malfunctions [3]. Especially for multi- regional enterprises, the centralized management of network infrastructure (such as SD-WAN technology) ensures real-time monitoring and security, which is a pressing issue [4]. 5 SCIENCE AND INNOVATION IN THE EDUCATION SYSTEM International scientific-online conference However, in the context of external political and economic threats (such as sanctions, currency fluctuations, and inflation), it becomes more difficult for enterprises to maintain stable operations. In such cases, flexible management models developed on the basis of integral indicators allow enterprises to quickly adapt to external changes and reduce economic losses [5][6]. Similarly, in assessing financial risks, in addition to traditional approaches, methodologies that take into account intersectoral relationships (meta-path) provide higher accuracy [7]. In terms of increasing energy efficiency, the introduction of digital monitoring systems in production enterprises enables continuous monitoring of energy consumption and the implementation of rapid measures. This approach increases energy savings, reduces maintenance costs, and extends the lifespan of equipment [8]. Collective management systems based on renewable energy sources, in turn, strengthen energy independence, contribute to sustainability, and reduce environmental risks [9]. In this study, qualitative content analysis and the method of conceptual synthesis were used as methodological approaches based on the sources analyzed. That is, the main theories, practical models, management tools, and technological solutions proposed in each scientific work were categorized by thematic direction and analyzed in an interrelated manner. Based on this, the practical effectiveness of the proposed methods for optimizing management was evaluated. The methodological approach is scientifically substantiated through the graphs, tables, and theoretical correlations outlined in the analysis and results section. As a result, the integration of advanced concepts, digital technologies, and strategic management models in the field of electric power enterprises contributes to the formation of a complex and sustainable approach in this area. Analyses of the optimization of management in electric power enterprises show that effective management mechanisms are a crucial factor in enhancing the economic stability, energy efficiency, and environmental adaptability of enterprises. Scientific views formed on the basis of the reviewed sources confirm that the use of modern digital forecasting models in energy resource management allows for fast and accurate decision-making. In particular, the application of multivariate time series models in predicting electric loads is highly beneficial for optimizing energy consumption [3]. Moreover, in large and geographically dispersed enterprises, a network infrastructure based on SD-WAN technology enables centralized management. 6 SCIENCE AND INNOVATION IN THE EDUCATION SYSTEM International scientifi