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Taxonomy research of artificial intelligence for deterministic solar power forecasting
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …
stochastic and volatile nature of solar power pose significant challenges to the reliable …
Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review
The rapid development of photovoltaic (PV) technology and the growing number and size of
PV power plants require increasingly efficient and intelligent health monitoring strategies to …
PV power plants require increasingly efficient and intelligent health monitoring strategies to …
[HTML][HTML] A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations
The development of Photovoltaic (PV) technology has paved the path to the exponential
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …
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 …
Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives
W Tang, Q Yang, Z Dai, W Yan - Energy, 2024 - Elsevier
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 …
complicated operating environment. Given the huge installed capacity of large-scale PV …
Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images
Electroluminescence (EL) imaging has become the standard test procedure for defect
detection throughout the production, installation and operation stages of solar modules …
detection throughout the production, installation and operation stages of solar modules …
[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection
One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
Microstructure segmentation with deep learning encoders pre-trained on a large microscopy dataset
This study examined the improvement of microscopy segmentation intersection over union
accuracy by transfer learning from a large dataset of microscopy images called MicroNet …
accuracy by transfer learning from a large dataset of microscopy images called MicroNet …
A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation
J Zhang, X Chen, H Wei, K Zhang - Applied Energy, 2024 - Elsevier
Nowadays, the rapid development of photovoltaic (PV) power stations requires increasingly
reliable maintenance and fault diagnosis of PV modules in the field. Due to the …
reliable maintenance and fault diagnosis of PV modules in the field. Due to the …
[HTML][HTML] 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 …