Hybrid Deep Learning Model for Fault Detection and Classification of Grid-Connected Photovoltaic System
Effective fault detection and classification play essential roles in reducing the hazards such as electric shocks and fire in photovoltaic (PV) systems.However, the issues of interest in fault detection and classification for PV systems remain an open-ended challenge due to manual and time-consuming processes that require the relevant domain knowle