A Czech research team has developed an IoT system for actively cooling PV panels, resulting in a 7.38% increase in daily energy yield and a positive net energy balance. The system utilizes a distributed architecture with edge, fog, and cloud layers, enabling autonomous operation and real-time decision-making. The study, published in Energy Conversion and Management: X, confirmed the system's effectiveness in improving energy efficiency and establishing a scalable foundation for future integration of AI-based control strategies. Scientists from the University of South Bohemia in České Budějovice and the Czech Academy of Sciences were involved in the research.