Novel Application of Heterogeneous Ensemble Learning in Fault Diagnosis of Photovoltaic Modules

The existing fault diagnosis methods of photovoltaic modules have some limitations: they only consider the influence of the area size of fault array when determining the fault level, and ignore the impact of the strength of fault factor itself. Addressing the issues, and in order to surmount the limited performance caused by the reliance on a single method simultaneously, this study proposes a nov...