Retraction notice to Wind turbine power coefficient estimation by soft computing methodologies: comparative study [ECM (2014) 520 - 526](S0196890414001745)(10.1016/j.enconman.2014.02.055);Wind turbine power coefficient estimation by soft computing methodologies: Comparative study

Energy Conversion and Management

Volumn 81, Issue , 2014, Pages 520-526

  Shamshirband, Shahaboddin ^a   Petković, Dalibor ^b   Saboohi, Hadi ^c   Anuar, Nor Badrul ^c   Inayat, Irum ^c   Akib, Shatirah ^c   Ćojbašić, Žarko ^b   Nikolić, Vlastimir ^b   Mat Kiah, Miss Laiha ^c   Gani, Abdullah ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF NI   (Serbia)

^c UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Blade pitch angle; Power coefficient; Soft computing; Support vector regression; Wind turbine

Indexed keywords

ENERGY CONVERSION; FOSSIL FUELS; SOFT COMPUTING; WIND; WIND POWER; WIND TURBINES; RADIAL BASIS FUNCTION NETWORKS; TURBOMACHINE BLADES;

BLADE PITCH; GENERALIZATION ERROR BOUNDS; OPERATIONAL PROBLEMS; POWER COEFFICIENTS; RADIAL BASIS FUNCTION(RBF); SOFT COMPUTING METHODOLOGIES; SUPPORT VECTOR REGRESSION (SVR); WIND ENERGY CONVERSION SYSTEM;

SUPPORT VECTOR REGRESSION; WIND TURBINES;

EID: 84896505175     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2018.02.020     Document Type: Erratum

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