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ABSTRACT Photovoltaic power generation is clean and environmentally friendly, and has been widely used. Hot spots on photovoltaic panels, caused by shading and leading to heating, …
Detection of abnormal photovoltaic (PV) system operation is essential to ensure safe and uninterrupted performance. In this study, the authors present a data-driven two-stage …
This paper addresses the problem of PV Panel Detection using a Convolutional Neural Network framework called YOLO and is able to effectively and efficiently segment …
In view of the reduced power generation efficiency caused by ash or dirt on the surface of photovoltaic panels, and the problems of heavy workload and low efficiency faced …
Solar energy generation Photovoltaic modules that work reliably for 20–30 years in environmental conditions can only be cost-effective. The temperature inside the PV cell is …
Based on this, this paper proposes a PV power generation anomaly detection method based on Quantile Regression Recurrent Neural Network (QRRNN). First, the characteristics of solar …
Genetic algorithm: This method optimizes photovoltaic panel fault detection by simulating the process of biological evolution, such as selection, crossover, mutation, etc. Genetic algorithms can use diverse populations to avoid falling into local optimality and can handle multi-objective problems.
Solar photovoltaic panel defect detection is an important part of solar photovoltaic panel quality inspection. ... its operating conditions are directly related to the power generation …
The hybrid method can achieve high efficiency, high precision, and fully automatic photovoltaic panel fault detection, which greatly improves the operation and maintenance efficiency and power generation of photovoltaic …
To improve the power generation efficiency of PV systems and ensure power stations'' safe and stable operation, Tianyi Sun et al. [15] proposed a novel method for …
Photovoltaic panel defect detection presents significant challenges due to the wide range of defect scales, diverse defect types, and severe background interference, often …
This work proposes a dust detection approach for PV panel cleaning considering economic factors, suitable for any large-scale photovoltaic power station with any cleaning …
The quality and efficiency of electricity generated by photovoltaic power generation are closely related to the goodness of the panel [[2], [3], [4]]. Due to the limitation of …
the total power generation in the world. Photovoltaic panel is the most important component of photovoltaic power generation system, and its good condition has a direct impact on the power …
• Power system management [28][29][30]; • Event detection, e.g., covering panels with dust [31] or partial shading [32]; • Increasing the efficiency of photovoltaic systems …
Where η 1 is the power generation efficiency of the PV panel at a temperature of T cell 1, τ 1 is the combined transmittance of the PV glass and surface soiling, and τ clean 1 is …
The detection of photovoltaic panel overlays and faults is crucial for enhancing the performance and durability of photovoltaic power generation systems. It can minimize energy losses, increase system reliability and lifetime, and lower maintenance costs.
Abstract: Photovoltaic panel is the core component of solar power generation system, and its quality and performance directly affect the power generation efficiency and reliability. Aiming at …
The deep learning method also has been widely used in photovoltaic module defect detection 10. To reduce the detection network complexity, Akram et al. 11 proposed a light convolution neural network based on a visual geometry group network for detecting photovoltaic cell cracking defects.
The intelligent method of detecting photovoltaic panel faults uses artificial intelligence and machine learning technology, and uses a large amount of data to train algorithms to identify and locate photovoltaic panel faults.
To objectively assess the effectiveness of our proposed method for photovoltaic panel defect detection, we conducted both quantitative and qualitative comparisons against …
Atmospheric dust deposition on photovoltaic panels leads to dust accumulation, impairing heat dissipation and significantly reducing both the power generation efficiency and system safety. …
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