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Home All issues Sci. Tech. Energ. Transition, 79 (2024) 27 Article references

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Cited article:

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

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Energy Science & Engineering 14 (6) 2961 (2026)
https://doi.org/10.1002/ese3.70514

A novel and low-cost mechanism for comprehensive PV fault diagnosis using optocouplers

Kashif Habib, Muhammad Sarwar Ehsan and Ali Faisal Murtaza
Renewable Energy 261 125268 (2026)
https://doi.org/10.1016/j.renene.2026.125268

AC Fault Detection in On-Grid Photovoltaic Systems by Machine Learning Techniques

Muhammet Tahir Guneser, Sakir Kuzey and Bayram Kose
Solar 6 (1) 6 (2026)
https://doi.org/10.3390/solar6010006

Toward intelligent and resilient microgrids: A survey of machine learning approaches for renewable energy integration

Darioush Razmi, Peyman Razmi, Oluleke Babayomi and Zhenbin Zhang
Applied Energy 415 127929 (2026)
https://doi.org/10.1016/j.apenergy.2026.127929

Advanced statistical analysis of performance degradation in a 30-MW photovoltaic plant: multi-phase degradation patterns and change-point detection in Algeria's semi-arid climate

Nawras Kahwaji, Benameur Afif, Mohammed Berka and Yamina Benkrima
The European Physical Journal Plus 140 (12) (2025)
https://doi.org/10.1140/epjp/s13360-025-07227-7

Artificial intelligence in photovoltaic fault diagnosis: A Natural Language-Based Topic-tSNE Fusion analysis

Edgar Hernando Sepúlveda-Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov and Corinne Alonso
Energy and AI 21 100558 (2025)
https://doi.org/10.1016/j.egyai.2025.100558

Machine Learning Approaches for Solar PV Fault Identification

M. V. Prashanth, K. N. Bharath, Nasreen Fathima, B. M. Latha, M. S. Sathisha, B. R. Ramji and G. R. Yathiraj
SN Computer Science 6 (7) (2025)
https://doi.org/10.1007/s42979-025-04364-9

Performance Improvement of Photovoltaic Panels Through Advanced Fault Detection Techniques

Aliaa Freej, Asmaa Sobhy Sabik and Ibrahim A. Nassar
Processes 13 (12) 3831 (2025)
https://doi.org/10.3390/pr13123831