Prominent solution for solar panel defect detection using AI-based computer vision technology with IoT sensors in the solar panel manufacturing industry
The burgeoning demand for solar energy has propelled the largest solar panel manufacturer
to the forefront of sustainable energy innovation. Recognizing the critical importance of …
to the forefront of sustainable energy innovation. Recognizing the critical importance of …
Detection of Suboptimal Conditions in Photovoltaic Systems Integrating Data from Several Domains
L Cardinale-Villalobos, LD Murillo-Soto… - … -American Congress of …, 2023 - Springer
Researchers have been exploring methods to detect suboptimal conditions in photovoltaic
(PV) modules, such as visual inspection, electrical analysis, and thermography. Each …
(PV) modules, such as visual inspection, electrical analysis, and thermography. Each …
Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
This review paper conducts a detailed exploration of the burgeoning field that leverages
deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots …
deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots …
[PDF][PDF] Integrated Thermal Monitoring System for Solar PV Panels: An Approach Based on TinyML and Edge Computing
AD Suárez-Gómez, JOB Quintero - 2024 - ceur-ws.org
This paper presents an integrated system for thermal monitoring and anomaly detection of
solar pv panels using TinyML and Edge Computing. The proposed system employs a low …
solar pv panels using TinyML and Edge Computing. The proposed system employs a low …
Enhancing PV panel diagnosis: RT-DETR vs YOLO v8 for real-time hotspots detection
M Achit, N Yassa, A Bouzida… - Studies in …, 2024 - ojs.studiespublicacoes.com.br
Accurate and efficient detection of hotspots in photovoltaic (PV) panels is paramount for
guiding maintenance decisions, enhancing power generation, and ensuring the safety and …
guiding maintenance decisions, enhancing power generation, and ensuring the safety and …
Thermal Images Based Mobile Application for Identifying Faults in Photovoltaics Modules
AI Constantin, RN Banaseanu… - … on Fundamentals of …, 2023 - ieeexplore.ieee.org
The paper describes few faults that can be present in Photovoltaic modules and presents
results related to training and the testing of a mobile application designed for identifying …
results related to training and the testing of a mobile application designed for identifying …
[PDF][PDF] Mrozi nski, A
I Rojek - Kotlarz, P - academia.edu
The ability of artificial intelligence (AI) to process large amounts of data, analyze complex
patterns, and make predictions is driving innovation in the energy sector and transformation …
patterns, and make predictions is driving innovation in the energy sector and transformation …
AI-Based Computational Model in Sustainable Transformation of Energy Markets
I Rojek, A Mroziński, P Kotlarz, M Macko… - Energies, 2023 - mdpi.com
The ability of artificial intelligence (AI) to process large amounts of data, analyze complex
patterns, and make predictions is driving innovation in the energy sector and transformation …
patterns, and make predictions is driving innovation in the energy sector and transformation …