The development of Photovoltaic (PV) technology has paved the path to the exponential
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …

In the past years, the computer vision domain has been profoundly changed by the advent of
deep learning algorithms and data science. The defect detection problem is of outmost …

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

Monitoring and maintenance of photovoltaic (PV) systems are critical in order to ensure
continuous power generation and prevent operation drops. Manual inspection of high …

Efficient defect detection in solar cell manufacturing is crucial for stable green energy
technology manufacturing. This paper presents a deep-learning-based automatic detection …

The rise of deep learning approaches has boosted the modern computing capabilities and
paved the way to novel outstanding applications. Recently, deep neural networks (DNN) …

Physics-based circuit parameters like series and shunt resistance are essential to provide
insights into the degradation status of photovoltaic (PV) arrays. However, calculating these …

The detection of defect types of photovoltaic (PV) panel is a crucial task in PV system.
Existing detection models face challenges in effectively balancing the trade-off between …

Detecting defects on photovoltaic panels using electroluminescence images can
significantly enhance the production quality of these panels. Nonetheless, in the process of …

The effect of cracks in solar cells on the long-term degradation of photovoltaic (PV) modules
remains to be determined. To investigate this effect in future studies, it is necessary to …