Conference
Open access
2026
Using Machine Learning for Detection and Classification of Single and Mixed Faults in Photovoltaic Systems
The XGBoost algorithm proved particularly effective in distinguishing between classes with very similar electrical signatures, particularly in the case of mixed faults, which confirms the relevance of boosting techniques for reliable and accurate diagnosis of photovoltaic systems.
Rajae El-Amri, B. Hajji, Hanae Azzaoui et al.
· EPJ Web of Conferences · 0 citations