The energy production efficiency of photovoltaic (PV) systems can be degraded due to the
complicated operating environment. Given the huge installed capacity of large-scale PV …

Photovoltaic (PV) roof‐top systems in real‐time environments are highly susceptible to the
commonly occurring scenario of partial shading that occurs due to unavoidable conditions …

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

The belt conveyor (BC) is the main means of horizontal transportation of bulk materials at
mining sites. The sudden fault in BC modules may cause unexpected stops in production …

Detecting and replacing defective photovoltaic modules is essential as they directly impact
power generation efficiency. Many current deep learning-based methods for detecting …

Photovoltaic systems are considered the cornerstone of renewable energy, with rapidly
increasing use and large-scale fields, there are significant limitations that affect their …

Photovoltaic power stations have grown unprecedentedly over the last few years. Accurate
information regarding the photovoltaic (PV) types and spatial information is crucial for …

Harsh outdoor operations may cause various abnormalities or faults of photovoltaic (PV)
array, decrease the energy yield and lifespan, and even cause catastrophic events …

With the expansion of solar energy in various fields, effective and reliable fault detection and
diagnosis techniques have been developed to ensure the safety and efficiency of …

This review paper conducts a detailed exploration of the burgeoning field that leverages
deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots …