Considering the relevance of photovoltaic technology in the power generation system,
degradation and failure of photovoltaic modules are becoming particularly relevant. To …

In view of the trend towards Industry 4.0, intelligent predictive monitoring and decision-
making processes have become a crucial requirement in today's manufacturing industries to …

The small hot spot defect detection for photovoltaic (PV) farms is a challenging problem due
to the feature vanishing as the network deepens. To solve this challenging problem, a novel …

This paper proposes an innovative approach to classify the losses related to photovoltaic
(PV) systems, through the use of thermographic non-destructive tests (TNDTs) supported by …

This paper investigates defects in photovoltaic (PV) cell and panels, in particular, the size
and location of defects. We concentrate on characterising photovoltaics under outdoor …

Despite advances in photovoltaic (PV) technologies, polycrystalline silicon (poly-Si)
modules remain important in countries that have experienced significant solar growth over …

This paper investigates the possibility of detecting defects in photovoltaic (PV) cell and
panels under harsh outdoor environmental conditions with the help of synchronized …

Solar photovoltaic installations are exponentially increasing due to their cost
competitiveness and low emissions. Regular inspection of PV panels ensure they deliver the …

This paper proposes the application of artificial intelligence techniques for the identification
of thermal anomalies that occur in a photovoltaic system due to malfunctions or faults, with …

Procurement, installation and operation are different phases of a photovoltaic (PV) plant life
cycle. Each of these phases come with different risks. These risks and their possible effects …