Cognitive Modeling for Technological Optimization of Thermal Power Plants

Improving the efficiency and reliability of thermal power plants (TPPs) is essential for modern energy systems. Cognitive modeling emerges as a powerful approach for analyzing complex interdependencies among technological parameters, identifying optimal solutions, and enhancing plant operations. This methodology facilitates resource optimization, mitigates environmental impacts, and reduces the risks of accidents and failures. Moreover, the development and implementation of recommendation systems based on cognitive modeling support decision-making processes and predictive maintenance strategies. The study demonstrates that cognitive modeling significantly enhances operational efficiency in thermal power plants by integrating real-time data analysis with predictive maintenance. These findings suggest that adopting cognitive-based optimization strategies can lead to more sustainable and cost-effective energy production.