Our aims are to advance the modeling, optimization, and control of renewable energy systems through interdisciplinary research. We integrate applied mathematics, engineering, physics, and computational science to develop efficient and scalable solutions for solar, wind, thermal, and smart grid technologies. Our work combines advanced simulations, AI-based forecasting, and dynamic control strategies with environmental and economic analysis to support sustainable energy planning. By bridging theoretical foundations with real-world applications, we contribute practical, data-driven approaches that strengthen resilient and sustainable energy systems....More