Artificial neural networks applications in partially shaded PV systems
Renewable energy sources have attracted attention in the last few years as an efficient and
sustainable alternative to conventional fossil fuels. Among these sources, solar power …
sustainable alternative to conventional fossil fuels. Among these sources, solar power …
[HTML][HTML] Deep Learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-art review
PV systems are prone to external environmental conditions that affect PV system operations.
Visual inspection of the impacts of faults on PV system is considered a better practice rather …
Visual inspection of the impacts of faults on PV system is considered a better practice rather …
Machine learning schemes for anomaly detection in solar power plants
The rapid industrial growth in solar energy is gaining increasing interest in renewable power
from smart grids and plants. Anomaly detection in photovoltaic (PV) systems is a demanding …
from smart grids and plants. Anomaly detection in photovoltaic (PV) systems is a demanding …
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 …
Automatic inspection of photovoltaic power plants using aerial infrared thermography: a review
In recent years, aerial infrared thermography (aIRT), as a cost-efficient inspection method,
has been demonstrated to be a reliable technique for failure detection in photovoltaic (PV) …
has been demonstrated to be a reliable technique for failure detection in photovoltaic (PV) …
Environmental fault diagnosis of solar panels using solar thermal images in multiple convolutional neural networks
T Selvaraj, R Rengaraj… - … on Electrical Energy …, 2022 - Wiley Online Library
Every year, each solar panel suffers an efficiency loss of 0.5% to 1%. This degradation of
solar panels arises due to environmental and electrical faults. A timely and accurate …
solar panels arises due to environmental and electrical faults. A timely and accurate …
An accurate analytical modeling of solar photovoltaic system considering Rs and Rsh under partial shaded condition
SK Vankadara, S Chatterjee… - International Journal of …, 2022 - Springer
Photovoltaic (PV) systems are subjected to several environmental disturbances, one such a
disturbance is partial shading, which adversely alters the characteristics of the photovoltaic …
disturbance is partial shading, which adversely alters the characteristics of the photovoltaic …
Development of a hybrid support vector machine with grey wolf optimization algorithm for detection of the solar power plants anomalies
Solar energy utilization in the industry has grown substantially, resulting in heightened
recognition of renewable energy sources from power plants and intelligent grid systems …
recognition of renewable energy sources from power plants and intelligent grid systems …
[HTML][HTML] Digital-PV: A digital twin-based platform for autonomous aerial monitoring of large-scale photovoltaic power plants
In this study, a novel digital twin-based solution called Digital-PV has been developed for
the simulation and managed execution of autonomous aerial monitoring of photovoltaic (PV) …
the simulation and managed execution of autonomous aerial monitoring of photovoltaic (PV) …
[PDF][PDF] Deep Learning-Based Model for Defect Detection and Localization on Photovoltaic Panels.
The Problem of Photovoltaic (PV) defects detection and classification has been well studied.
Several techniques exist in identifying the defects and localizing them in PV panels that use …
Several techniques exist in identifying the defects and localizing them in PV panels that use …