NASNet-LSTM based Deep learning Classifier for Anomaly Detection in Solar Photovoltaic Modules
Shiva Gopalakrishnan,
Noor Izzri Abdul Wahab,
Veerapandiyan Veerasamy
et al.
Abstract:Many nations are increasing the installations of solar photovoltaic (PV) modules for clean energy production. Such PV modules are considered to be cost effective if the module’s operation lifetime is more than twenty years. In real-time, the PV modules undergo degradation due to hotspots, defects and other anomalies resulting in reduced operation lifetime. Infrared (IR) Thermography is a Non-Destructive Testing (NDT) method that can be used in identifying such anomalies present in PV modules. However, the IR t… Show more
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