Short-term wind power forecasting using the enhanced particle swarm optimization based hybrid method

Energies

Volumn 6, Issue 9, 2013, Pages 4879-4896

  Chang, Wen Yeau ^a  

^a ST JOHN'S UNIVERSITY   (Taiwan)

Author keywords

Back propagation neural network; Enhanced particle swarm optimization algorithm; Hybrid forecasting method; Persistence method; Radial basis function neural network; Wind power forecasting

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; ELECTRIC POWER GENERATION; ENERGY CONVERSION; FORECASTING; FUNCTIONS; NEURAL NETWORKS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS; TORSIONAL STRESS; WIND; WIND EFFECTS; WIND POWER;

BACK PROPAGATION NEURAL NETWORKS; ENHANCED PARTICLE SWARM OPTIMIZATION; HYBRID FORECASTING; PERSISTENCE METHOD; RADIAL BASIS FUNCTION NEURAL NETWORKS; WIND POWER FORECASTING;

WEATHER FORECASTING;

EID: 84885438201     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en6094879     Document Type: Article

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