DRONE-BASED SOLAR PANEL FAULT CLASSIFICATION USING INFRARED IMAGES AND DEEP LEARNING: A COMPARATIVE STUDY OF A LIGHTWEIGHT CNN AND RESNET18

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Farkhod Akhmedov, Toshtemir Abdikhafizovich Khujakulov Halimjon Ergashevich Khujamatov3

Abstract

Efficient monitoring of photovoltaic (PV) modules is essential for sustaining
energy yield and reducing manual inspection effort in solar power plants. Dronebased
infrared (IR) imaging is a practical inspection modality because thermal
anomalies often indicate electrical or physical faults

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