Solar Cell

Solar cell research focuses on improving efficiency and reliability of photovoltaic energy conversion, primarily through advancements in materials science and data-driven approaches. Current research emphasizes using machine learning, particularly deep learning architectures like convolutional neural networks (CNNs) and transformers, for tasks such as maximum power point tracking (MPPT), defect detection in electroluminescence images, and forecasting power output. These advancements are crucial for optimizing solar energy harvesting, improving maintenance strategies, and facilitating the wider adoption of renewable energy technologies.