Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)

Applied Energy

Volumn 88, Issue 11, 2011, Pages 4024-4032

  Mohandes, M ^a   Rehman, S ^a,b   Rahman, S M ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

^b UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

ANFIS; Artificial neural networks; Fuzzy inference system; Wind profile; Wind speed

Indexed keywords

CLUSTERING ALGORITHMS; ELECTRIC UTILITIES; FOSSIL FUELS; FUZZY INFERENCE; FUZZY SYSTEMS; NEURAL NETWORKS; TURBINES; WIND EFFECTS; WIND POWER;

ANFIS; ARTIFICIAL NEURAL NETWORK; FUZZY INFERENCE SYSTEM; WIND PROFILE; WIND SPEED;

SPEED;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA SET; ERROR ANALYSIS; ESTIMATION METHOD; FUZZY MATHEMATICS; POWER GENERATION; RENEWABLE RESOURCE; SUSTAINABILITY; VELOCITY PROFILE; WIND FARM; WIND POWER; WIND SHEAR; WIND TURBINE; WIND VELOCITY;

EID: 79959826777     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.04.015     Document Type: Article

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