Photovoltaic Power

Photovoltaic (PV) power research focuses on improving the efficiency, scalability, and integration of solar energy systems into existing infrastructure. Current research employs machine learning techniques, including physics-guided machine learning, agent-based modeling, and deep reinforcement learning, to optimize PV system design, predict energy yield, and forecast power generation, often leveraging remote sensing and granular meteorological data. These advancements are crucial for accelerating the adoption of renewable energy, improving grid stability, and enabling more accurate and efficient energy management strategies. The development of robust and reliable models is key to supporting the global transition to sustainable energy sources.