[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 …
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 …
Fault diagnosis of photovoltaic modules using deep neural networks and infrared images under Algerian climatic conditions
The number of decentralized photovoltaic (PV) systems generating electricity has increased
significantly, and its monitoring and maintenance has become a challenge in terms of …
significantly, and its monitoring and maintenance has become a challenge in terms of …
An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural network
Photovoltaic (PV) power generation is one of the remarkable energy types to provide clean
and sustainable energy. Therefore, rapid fault detection and classification of PV modules …
and sustainable energy. Therefore, rapid fault detection and classification of PV modules …
An innovative transformer neural network for fault detection and classification for photovoltaic modules
EA Ramadan, NM Moawad, BA Abouzalm… - Energy Conversion and …, 2024 - Elsevier
Solar energy from photovoltaic systems (PV) ranks as the third greatest renewable electricity
generation resource, expanding quickly through the years as it is free from environmental …
generation resource, expanding quickly through the years as it is free from environmental …
Photovoltaic system fault detection techniques: a review
Solar energy has received great interest in recent years, for electric power generation.
Furthermore, photovoltaic (PV) systems have been widely spread over the world because of …
Furthermore, photovoltaic (PV) systems have been widely spread over the world because of …
Assessment of machine learning and ensemble methods for fault diagnosis of photovoltaic systems
A Mellit, S Kalogirou - Renewable Energy, 2022 - Elsevier
The photovoltaic (PV) array is the most sensible element in PV plants, which is subject to
different type of faults and defects. Thus, to keep these plants working efficiently they should …
different type of faults and defects. Thus, to keep these plants working efficiently they should …
A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine …
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
[HTML][HTML] A state-of-art-review on machine-learning based methods for PV
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …
applications in several applicative fields effectively changing our daily life. In this scenario …
Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review
Photovoltaic (PV) technologies are expected to play an increasingly important role in future
energy production. In parallel, machine learning has gained prominence because of a …
energy production. In parallel, machine learning has gained prominence because of a …