Guide Global photovoltaic solar panel dataset from 2019 to 2022
Czirjak, D. Detecting photovoltaic solar panels using hyperspectral imagery and estimating solar power production. Journal of Applied Remote Sensing 11, 026007 (2017).
Guide Accurate detection of photovoltaic panel defects via visible-infrared
Timely automated detection is crucial for maintaining power generation efficiency and ensuring equipment safety. This paper presents a lightweight enhanced YOLOv11n model for
Guide Optimized YOLO based model for photovoltaic defect detection in
Ensuring the reliability of photovoltaic (PV) systems requires efficient defect detection to maintain optimal energy production. Deep learning-based object detection models have...
Guide [2210.05226] Detecting Hidden Attackers in Photovoltaic Systems
In modern smart grids, the proliferation of communication-enabled distributed energy resource (DER) systems has increased the surface of possible cyber-physical attacks. Attacks
Guide Study on defect detection and identification of solar photovoltaic (PV
Wenbo Jiang1,2 & Wang Liu1,2 Aiming at the problems of current solar photovoltaic (PV) panel defect detection methods, this paper proposes a solar PV panel defect detection and identification
Guide A lightweight and efficient model for photovoltaic panel defect
Within this research, we introduce a streamlined yet effective model founded on the “You Only Look Once” algorithm to detect photovoltaic panel defects in intricate settings.
Guide Detection of Solar Photovoltaic Power Plants Using Satellite and
Solar photovoltaic panels (PV) provide great potential to reduce greenhouse gas emissions as a renewable energy technology. The number of solar PV has increased significantly in recent
Guide Automated detection and tracking of photovoltaic modules from 3D
Finally, the detection of arrays and panels has been traditionally conducted in 2D , despite 3D information providing further feedback together with the azimuth angle and mounting
Guide LEM-Detector: An Efficient Detector for Photovoltaic
This paper presents an efficient end-to-end detector for photovoltaic panel defect detection, the LEM-Detector, drawing inspiration from the
Guide Monitoring photovoltaic soiling: assessment, challenges, and
Drones are becoming popular for the inspection of photovoltaic plants, as they can be equipped with infrared and/or electroluminescence cameras to detect in real time failures and defects
Guide (PDF) Development and Performance Evaluation of a Hybrid AI-Based
To this aim, a novel method is addressed for fault detection in photovoltaic panels through processing of thermal images of solar panels captured by a thermographic camera.
Guide Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection
Algorithms that detect solar panels and hotspots, if present, can benefit the utility-scale inspection process. Preliminary results demonstrate the opportunity and challenges of thermal imagery for PV.
Guide Explainable artificial intelligence for photovoltaic fault detection: A
This study implements explainable artificial intelligence (XAI) techniques to extract explanations from a multi-layer perceptron (MLP) model for photovoltaic fault detection, with the aim
Guide YOLO-PVT: An Enhanced Algorithm for Photovoltaic Defect Detection
Abstract To address the challenges of missed small-target detection, strong background interference, and low detection efficiency in photovoltaic (PV) panel defect inspection, this paper proposes a
Guide Enhancing Solar Plant Efficiency: A Review of Vision
Over the last decades, environmental awareness has provoked scientific interest in green energy, produced, among others, from solar sources.
Guide ResNet-based image processing approach for precise detection
Article Open access Published: 08 July 2025 ResNet-based image processing approach for precise detection of cracks in photovoltaic panels Montaser Abdelsattar, Ahmed AbdelMoety &
Guide Review A review of automated solar photovoltaic defect detection
Abstract 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
Guide A photovoltaic panel defect detection framework
This paper proposes a photovoltaic panel defect detection method based on an improved YOLOv11 architecture. By introducing the CFA and
Guide Accurate detection of photovoltaic panel defects via visible-infrared
This study proposes a lightweight dual-modal detection scheme, combining visible and infrared images to address three major challenges in photovoltaic panel defect detection, namely
Guide Advanced fault detection in PV panels using deep neural networks
To address these challenges, accurate and timely fault detection is essential for ensuring optimal PV system performance and longevity. In this work, we propose a novel machine learning
Guide Fast object detection of anomaly photovoltaic (PV) cells using deep
Anomaly detection in photovoltaic (PV) cells is crucial for ensuring the efficient operation of solar power systems and preventing potential energy losses. In this paper, we propose an
Guide Detection and classification of photovoltaic module defects based on
Abstract Photovoltaic (PV) system performance and reliability can be improved through the detection of defects in PV modules and the evaluation of their effects on system operation. In this
Guide Detecting Hidden Attackers in Photovoltaic Systems Using Machine
Detecting Hidden Attackers in Photovoltaic Systems Using Machine Learning Suman Sourav1,2, Partha P. Biswas2, Binbin Chen1,2, and Daisuke Mashima2
Guide Vision-Based Object Detection for UAV Solar Panel Inspection Using
This section presents the quantitative evaluation results of five state-of-the-art object detection models for solar panel defect detection, comparing performance on the original imbalanced dataset and a
Guide Investigation on a lightweight defect detection model for photovoltaic
To address this issue, this paper proposes a new defect detection method for PV panel based on the improved YOLOv8 model, which realizes both the high detection accuracy and the
Guide Detecting Hidden Attackers in Photovoltaic Systems Using Machine
Request PDF | On Oct 25, 2022, Suman Sourav and others published Detecting Hidden Attackers in Photovoltaic Systems Using Machine Learning | Find, read and cite all the research you need on