Standout Papers

Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier 2024 202681
  1. Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier (2024)
    Houcine Oudira, Aissa Chouder et al. Energy Conversion and Management

Immediate Impact

32 standout
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Citing Papers

Football team training algorithm: A novel sport-inspired meta-heuristic optimization algorithm for global optimization
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Reliability model and maintenance cost optimization of wind-photovoltaic hybrid power systems
2024 Standout
2 intermediate papers

Works of Sofiane Kichou being referenced

Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier
2024 Standout
Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification
2016

Author Peers

Author Last Decade Papers Cites
Sofiane Kichou 418 218 296 20 577
Alessandro Ciocia 313 104 368 40 565
Sara Gallardo-Saavedra 479 181 303 25 680
Mojgan Hojabri 450 290 423 24 681
Messaoud Hamouda 344 141 278 35 518
Khalil Benmouiza 235 288 309 13 524
Yassine Chaibi 470 266 298 27 652
M. Carolin Mabel 175 160 443 16 642
Andreas Livera 509 397 338 34 738
Bruce Mehrdadi 584 259 397 13 689
Rachid Chenni 479 267 412 29 725

All Works

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2026