No title
This thesis investigates the application of artificial intelligence (AI), machine learning, and environmental statistics to address challenges in renewable energy optimization and environmental monitoring. Environmental systems are inherently complex, dynamic, and uncertain, making data-driven methods particularly valuable for modeling and analysis. Advances in remote sensing technologies and the
