The article analyzes current trends in the automation of engineering systems in thermal power engineering. It explores the methodological foundations for enhancing the efficiency of energy production through the adoption of innovative energy management technologies. The necessity of integrating traditional and alternative energy sources to improve the competitiveness of energy technology complexes is emphasized, alongside the urgent need to modernize outdated equipment amid limited investments, rising costs, and inflationary pressures. The study substantiates the application of remote monitoring systems such as SCADA and ADMS, as well as intelligent energy resource distribution technologies. Special attention is given to the use of artificial intelligence methods, neural network algorithms, and the Internet of Things (IoT) to optimize energy consumption and minimize thermal losses. The proposed concept of decentralized energy envisions comprehensive regulation of processes within heating systems, thereby enhancing the energy, environmental, and economic performance of facilities. The results demonstrate the practical applicability of the developed methodologies and highlight the need for further research in automating thermal power complexes. The findings provide a foundation for recommendations on modernizing energy resource management systems in response to current economic and technical challenges. The outcomes indicate the feasibility of systematic implementation of automated solutions to improve the reliability and resilience of power installations. Adoption of these methodologies will reduce operational costs, optimize energy distribution, and ensure compliance with contemporary safety and environmental standards. Further research in this domain will contribute to advancing automation technologies, fostering the development of thermal power engineering, and securing the stability of energy systems in practice.
Bolkov et al. (Thu,) studied this question.