This research explores the application of fuzzy logic in real-time control systems for smart grids and
energy management, comparing its performance against traditional binary logic. Fuzzy logic, with its
ability to handle uncertainty and imprecision, is well-suited for optimizing complex and dynamic energy
systems. The study demonstrates that fuzzy logic outperforms binary logic across various metrics,
including average energy consumption, peak load management, control response time, system stability,
and user satisfaction. The experimental results show that fuzzy logic reduces energy consumption by
8%, improves response time by 40%, and increases cost savings by 15%. These findings highlight the
potential of fuzzy logic to enhance energy efficiency, system reliability, and overall performance in
smart grid applications. The integration of fuzzy logic into smart grid control systems offers significant
advantages in meeting the growing demands of modern energy management.
