Infrared imaging of photovoltaic modules: a review of the state of the art and future challenges facing gigawatt photovoltaic power stations

C Buerhop, L Bommes, J Schlipf, T Pickel… - Progress in …, 2022 - iopscience.iop.org
Thermography is a frequently used and appreciated method to detect underperforming
Photovoltaic modules in solar power stations. With the review, we give insights on two …

[HTML][HTML] Photovoltaic systems operation and maintenance: A review and future directions

H Abdulla, A Sleptchenko, A Nayfeh - Renewable and Sustainable Energy …, 2024 - Elsevier
The expansion of photovoltaic systems emphasizes the crucial requirement for effective
operations and maintenance, drawing insights from advanced maintenance approaches …

[HTML][HTML] A smart fault detection approach for PV modules using Adaptive Neuro-Fuzzy Inference framework

M Abbas, D Zhang - Energy Reports, 2021 - Elsevier
This paper presents an intelligent photovoltaic (PV) fault detection system using Adaptive
Neuro-Fuzzy Inference System (ANFIS) methodology. To accomplish this objective, it is …

[HTML][HTML] Developing a deep learning-based layer-3 solution for thermal infrared large-scale photovoltaic module inspection from orthorectified big UAV imagery data

Y Zefri, I Sebari, H Hajji, G Aniba - … Journal of Applied Earth Observation and …, 2022 - Elsevier
The increasing adoption of photovoltaic (PV) technology highlights the need for efficient and
large-scale deployment-ready inspection solutions. In the thermal infrared imagery-based …

[HTML][HTML] Machine learning for advanced characterisation of silicon photovoltaics: A comprehensive review of techniques and applications

Y Buratti, GMN Javier, Z Abdullah-Vetter… - … and Sustainable Energy …, 2024 - Elsevier
Accurate and efficient characterisation techniques are essential to ensure the optimal
performance and reliability of photovoltaic devices, especially given the large number of …

A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis

A Michail, A Livera, G Tziolis, JLC Candás… - Heliyon, 2024 - cell.com
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 …

[HTML][HTML] Model-based fault detection in photovoltaic systems: A comprehensive review and avenues for enhancement

B Taghezouit, F Harrou, Y Sun, W Merrouche - Results in Engineering, 2024 - Elsevier
Solar photovoltaic (PV) systems have become a vital renewable energy source, witnessing
rapid global demand. Nevertheless, these systems are susceptible to faults and anomalies …

Fault diagnosis of photovoltaic systems using artificial intelligence: A bibliometric approach

EH Sepúlveda-Oviedo, L Travé-Massuyès, A Subias… - Heliyon, 2023 - cell.com
Conventional fault detection methods in photovoltaic systems face limitations when dealing
with emerging monitoring systems that produce vast amounts of high-dimensional data …

Design and Development of a Relational Database Management System (RDBMS) with Open Source Tools for the Processing of Data Monitored in a Set of …

D Trillo-Montero, S Cosano-Lucena… - Applied Sciences, 2023 - mdpi.com
The objective of this work has been to implement an orderly, accessible, fast and space-
saving storage system that allows the transfer to a Relational Database Management …

Intelligent Monitoring of Photovoltaic Systems via Simplicial Empirical Models and Performance Loss Rate Evaluation under LabVIEW: A Case Study

B Taghezouit, F Harrou, C Larbes, Y Sun, S Semaoui… - Energies, 2022 - mdpi.com
The capacity of photovoltaic solar power installations has been boosted last years by
reaching a new record with 175 GWdc of newly installed solar power in 2021. To guarantee …