Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation

Renewable and Sustainable Energy Reviews

Volumn 28, Issue , 2013, Pages 191-195

  Petković, Dalibor ^a   Ćojbašič, Žarko ^a   Nikolić, Vlastimir ^a  

^a UNIVERSITY OF NI   (Serbia)

Author keywords

ANFIS; Blade pitch angle; Neuro fuzzy; Power coefficient; Wind turbine

Indexed keywords

BACKPROPAGATION ALGORITHMS; ENERGY CONVERSION; FOSSIL FUELS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INTELLIGENT AGENTS; MATLAB; MEMBERSHIP FUNCTIONS; TURBOMACHINE BLADES; WIND; WIND POWER; WIND TURBINES;

ADAPTIVE NEURO FUZZY INFERENCE SYSTEMS (ANFIS); ANFIS; BACKPROPAGATION LEARNING ALGORITHM; BLADE PITCH; FUZZY INFERENCE SYSTEMS (FIS); NEURO-FUZZY; POWER COEFFICIENTS; WIND ENERGY CONVERSION SYSTEM;

FUZZY INFERENCE;

EID: 84883131816     PISSN: 13640321     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rser.2013.07.049     Document Type: Review

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