Accurate photovoltaic (PV) diagnosis is of paramount importance for reducing investment
risk and increasing the bankability of the PV technology. The application of fault diagnostic …

Featured Application This work has applications in the advancement of deep learning-based
object detection using drones and the improvement of operations and maintenance …

Solar Photovoltaic (PV) systems are increasingly vital for enhancing energy security
worldwide. However, their efficiency and power output can be significantly reduced by …

Solar Photovoltaic (PV) is increasingly being used to address the global concern of energy
security. However, hot spot and snail trails in PV modules caused mostly by crakes reduce …

This article proposes a novel approach to photovoltaic panel inspection through the
integration of image classification and meteorological data analysis. Utilizing two …

The rapid global expansion of solar panel installations necessitates more efficient and cost-
effective methods for performance monitoring and maintenance. The New England Solar …

This paper presents an advanced outdoor electroluminescence (EL) imaging system for
inspecting solar photovoltaic (PV) modules under varying daylight conditions. EL imaging …

太阳能电池片表面缺陷具有类内差异大, 类间差异小和背景特征复杂等特点, 因此,
要实现高精度的太阳能电池片表面缺陷自动检测是一项富有挑战性的任务. 针对此问题 …

Background: This study demonstrates how convolutional neural networks (CNNs),
supported by open-source software and guided by corporate social responsibility (CSR) …

The surface defects of solar cells exhibit significant intra-class differences, minor inter-class
differences, and complex background features, making high-precision identification of …