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Author/Affiliation: François Dieudonné MengueOpen AccessArticle
16 Pages, 2,851 KB 
Explainable AI and Active Learning for Photovoltaic System Fault Detection: A Bibliometric Study and Future Directions
Abstract:
Persistent anomalies in modern photovoltaic (PV) systems present a formidable challenge, impeding optimal power output and system resilience. Artificial Intelligence (AI) has surfaced as a game-changing solution, yet existing research has merely scratched the surface of solar panel prognosis, leaving a critical void in leveraging AI’s explainable nature and active learning capabilities. This pioneering study…
Read More(This article belongs to the SP18 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2025) & Section Transportation Science & Technology (TST))