The transition to sustainable energy systems is critical in addressing global energy demands and mitigating environmental challenges. This study explores the application of fuzzy logic as a robust and adaptive methodology for optimizing resource management in green energy systems. By leveraging fuzzy inference mechanisms, the proposed approach integrates multiple inputs such as energy generation, storage capacity, consumption patterns, and environmental factors to achieve real-time decision-making and resource allocation. The fuzzy logic model effectively handles uncertainties and non-linear relationships inherent in green energy systems, offering enhanced efficiency, reliability, and sustainability. Simulation results demonstrate the approach’s ability to balance energy supply and demand while minimizing resource wastage and carbon emissions. This research underscores the transformative potential of fuzzy logic in revolutionizing green energy systems and provides a framework for advancing intelligent, eco-friendly energy solutions.