In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection
This review presents an investigation into the incremental advancements in the YOLO (You
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives
As global photovoltaic (PV) power generation capacity rapidly expands, efficient and
effective health management of PV systems has emerged as a critical focal point. With the …
effective health management of PV systems has emerged as a critical focal point. With the …
A combined convolutional neural network model and support vector machine technique for fault detection and classification based on electroluminescence images of …
Nowadays, photovoltaic (PV) systems are gaining increasing momentum due to their ability
to generate clean and affordable electric power. However, many factors can impede the …
to generate clean and affordable electric power. However, many factors can impede the …
Applications of artificial intelligence to photovoltaic systems: a review
HF Mateo Romero, MÁ González Rebollo… - Applied Sciences, 2022 - mdpi.com
This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …
(PV) systems. Solar energy is one of the most important renewable energies, and the …
Machine learning applications in health monitoring of renewable energy systems
Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …
of renewable energy installations are driving the need for more accurate, faster, and smarter …
Photovoltaic cell defect classification based on integration of residual-inception network and spatial pyramid pooling in electroluminescence images
Electroluminescence (EL) imaging provides high spatial resolution and better identifies
micro-defects for inspection of photovoltaic (PV) modules. However, the analysis of EL …
micro-defects for inspection of photovoltaic (PV) modules. However, the analysis of EL …
YOLO-MIF: Improved YOLOv8 with Multi-Information fusion for object detection in Gray-Scale images
D Wan, R Lu, B Hu, J Yin, S Shen, X Lang - Advanced Engineering …, 2024 - Elsevier
Grayscale images, characterized by their single-channel grayscale information, offer a
simplified representation that reduces the complexity and cost associated with processing …
simplified representation that reduces the complexity and cost associated with processing …
[HTML][HTML] Machine learning for advanced characterisation of silicon photovoltaics: A comprehensive review of techniques and applications
Accurate and efficient characterisation techniques are essential to ensure the optimal
performance and reliability of photovoltaic devices, especially given the large number of …
performance and reliability of photovoltaic devices, especially given the large number of …
Effective transfer learning of defect detection for photovoltaic module cells in electroluminescence images
X **e, G Lai, M You, J Liang, B Leng - Solar Energy, 2023 - Elsevier
Due to the damage during production, transportation and installation, some defects
inevitably occur in the solar cells, which will reduce the power generation efficiency …
inevitably occur in the solar cells, which will reduce the power generation efficiency …
A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis
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 …
risk and increasing the bankability of the PV technology. The application of fault diagnostic …