Photovoltaic System

Photovoltaic (PV) systems, crucial for sustainable energy generation, are the focus of intense research aimed at improving efficiency, reliability, and integration into existing grids. Current research emphasizes automated defect detection using computer vision and deep learning models, particularly convolutional neural networks and transformers, as well as advanced forecasting techniques employing machine learning algorithms like random forests and recurrent neural networks to predict power output and optimize energy management. These advancements are vital for maximizing PV system performance, reducing maintenance costs, and facilitating the wider adoption of renewable energy sources.