A neural network based approach for wind resource and wind generators production assessment

Applied Energy

Volumn 87, Issue 5, 2010, Pages 1744-1748

  Thiaw, L ^a   Sow, G ^a   Fall, S S ^a   Kasse, M ^a   Sylla, E ^a   Thioye, S ^a  

^a Laboratoire d'Energies Renouvelables   (Senegal)

Author keywords

Artificial neural network; Multi Layer Perceptron; Weibull model; Wind energy; Wind generator

Indexed keywords

DEEP NEURAL NETWORKS; NETWORK LAYERS; NEURAL NETWORKS; SPEED REGULATORS; WIND; WIND POWER; WIND TURBINES;

ENERGY CHARACTERISTICS; FUNCTION APPROXIMATION PROBLEMS; MULTI LAYER PERCEPTRON; NETWORK-BASED APPROACH; WEIBULL MODELS; WIND GENERATOR SYSTEMS; WIND SPEED DISTRIBUTION; WIND SPEED MEASUREMENT;

WEIBULL DISTRIBUTION;

ARTIFICIAL NEURAL NETWORK; POWER GENERATION; RAYLEIGH NUMBER; WEIBULL THEORY; WIND POWER; WIND VELOCITY;

EID: 75149148000     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2009.10.001     Document Type: Article

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