Machine learning applications in health monitoring of renewable energy systems
Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …
of renewable energy installations are driving the need for more accurate, faster, and smarter …
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 …
Photovoltaic modules in solar power stations. With the review, we give insights on two …
Comparative investigation of imaging techniques, pre-processing and visual fault diagnosis using artificial intelligence models for solar photovoltaic system–A …
GB Balachandran, M Devisridhivyadharshini… - Measurement, 2024 - Elsevier
Photovoltaic systems provide an eco-friendly key to meet our increasing energy demand
while mitigating the adverse impacts of conventional fossil fuel-based energy generation …
while mitigating the adverse impacts of conventional fossil fuel-based energy generation …
From efficiency to eternity: A holistic review of photovoltaic panel degradation and End-of-Life management
The most dependable part of photovoltaic (PV) power systems are PV modules. Under
normal operating conditions, the PV module will continue to function properly for 25 years …
normal operating conditions, the PV module will continue to function properly for 25 years …
[HTML][HTML] Convolutional neural networks and Internet of Things for fault detection by aerial monitoring of photovoltaic solar plants
Aerial thermographic inspection is performed with thermal cameras embedded in unmanned
aerial vehicles, being one of the most relevant monitoring techniques for photovoltaic …
aerial vehicles, being one of the most relevant monitoring techniques for photovoltaic …
[HTML][HTML] Net-metering and Feed-in-Tariff policies for the optimum billing scheme for future industrial PV systems in Bangladesh
In this paper, the economic sustainability of net billing and feed-in-tariff (all energy buy/sell)
method is analyzed in comparison with the current net-metering for the industrial PV systems …
method is analyzed in comparison with the current net-metering for the industrial PV systems …
[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 …
[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) …
SoilingEdge: PV soiling power loss estimation at the edge using surveillance cameras
Solar panels are exposed to various pollutants in outdoor environments, such as dust,
sediment, and bird excrement, which can cause the power generated by the panels to drop …
sediment, and bird excrement, which can cause the power generated by the panels to drop …
Performance and reliability improvement of partially shaded PV arrays by one-time electrical reconfiguration
Partial shading is the most unexpected scenario encountered by the arrays that degrade the
performance causing power reduction, non-convex characteristics curves, losses, hotspot …
performance causing power reduction, non-convex characteristics curves, losses, hotspot …