This research develops an image-based machine learning model using EfficientNet to detect dust on solar panels, integrated with an IoT system featuring ESP32-CAM and Flask for automated cleaning.

A prototype of the grid-connected solar PV system is developed in the laboratory using IGBTs based VSC and dSPACE MicroLabBox (DS-1202) to demonstrate the behavior of the FONF-based control.