Over the last decades, environmental awareness has provoked scientific interest in green
energy, produced, among others, from solar sources. However, for the efficient operation …

Identifying defects in photovoltaic (PV) modules is essential for ensuring optimal
performance and prolonging their operational lifespan. Traditional manual inspection …

As the global transition towards clean energy accelerates, the demand for the widespread
adoption of solar energy continues to rise. However, traditional object detection models …

This study presents an advanced defect detection approach for solar cells using the
YOLOv10 deep learning model. Leveraging a comprehensive dataset of 10,500 solar cell …

The increasing complexity of photovoltaic (PV) system monitoring underscores the
importance of precise fault detection and energy loss prediction. This paper proposes a …

This study introduces a comprehensive method to enhance the precision of photovoltaic
(PV) panel segmentation, crucial for the expanding utilization of PV technology in renewable …

光伏发电在新型能源系统中扮演着重要的角色, 其稳定运行对于保障能源供应至关重要. 然而,
光伏板在实际应用中面临着复杂的外部环境, 如紫外线辐射, 腐蚀, 受潮等 …

Traditional photovoltaic (PV) panel defect detection tasks rely primarily on manual visual
inspections, which are inefficient, have low accuracy, and incur high costs. This paper …