Photovoltaic (PV) has emerged as a promising and phenomenal renewable energy
technology in the recent past and the PV market has developed at an exponential rate …

The accurate prediction of the performance output of photovoltaic (PV) installations is
becoming ever more prominent. Its success can provide a considerable economic benefit …

The fast growth of PV installed capacity in Spain has led to an increase in the demand for
analysis of installed PV modules. One of the topics that manufacturers, promoters, and …

Solar energy is one of the fastest growing renewable energy resources. It is extremely
important to improve the reliability and availability of solar energy systems and to further …

This paper presents a review of the machine detection systems for micro-crack inspection of
solar wafers and cells. To-date, there are various methods and procedures that have been …

Le travail présenté dans cette thèse a pour objectif de présenter une méthode de diagnostic
de défauts et un matériel de laboratoire pour l'enseignement de la surveillance et le …

Detection of cracks in solar photovoltaic (PV) modules is crucial for optimal performance and
long-term reliability. The development of convolutional neural networks (CNNs) has …

Cette thèse constitue une contribution à la maîtrise du comportement des performances des
modules photovoltaïques durant leur cycle de vie. D'une part, elle traite de la dégradation et …

A solar cell panel as an efficient power source for the production of electrical energy has
long been considered. Any defect on the solar cell panel's surface will be lead to reduced …

The surface of solar cell products is critically sensitive to existing defects, leading to the loss
of efficiency. Finding any defects in the solar cell is a significantly important task in the …