The number of decentralized photovoltaic (PV) systems generating electricity has increased
significantly, and its monitoring and maintenance has become a challenge in terms of …

The global generation of renewable energy has rapidly increased, primarily due to the
installation of large-scale renewable energy power plants. However, monitoring renewable …

Currently, numerous machine learning (ML) techniques are being applied in the field of
renewable energy (RE). These techniques may not perform well if they do not have enough …

Any defects or damage on photovoltaic panels significantly reduce photoelectric conversion
efficiency and service life. Therefore, the refined defect segmentation technology is the key …

The detection, localization, and interpretation of defects in textured surfaces pose
challenges for automatic visual inspection. Both fully-supervised and weakly-supervised …

The rapid advancement of photovoltaic (PV) technology offers a significant way to advance
renewable energy. As a form of PV power generation that does not take up land resources to …

Photovoltaic (PV) module is the medium to convert solar energy to electrical energy. The
existence of defects in the PV module will affect the system's efficiency to generate …

A Photovoltaic (PV) module is a module that absorbs solar energy and converts it into
electrical energy, which will be used for electrical equipment. In recent years, the PV …

Generally, the performance of deep learning models is related to the captured features of
training samples. When the training samples belong to different domains, the diverse …

The paper presents a case study on the impact of mechanical defects, such as cracks and
impaired sealing, in frameless solar panels based on a thin layer of cadmium telluride …