Forecasting aggregated wind power production of multiple wind farms using hybrid wavelet-PSO-NNs

International Journal of Energy Research

Volumn 38, Issue 13, 2014, Pages 1654-1666

  Mandal, Paras ^a   Zareipour, Hamidreza ^b   Rosehart, William D ^b  

^a University of Texas at El Paso   (United States)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Neural networks; Particle swarm optimization; Wavelet transform; Wind power forecasting

Indexed keywords

ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC UTILITIES; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SOFT COMPUTING; WAVELET TRANSFORMS; WIND EFFECTS; WIND POWER;

HYBRID INTELLIGENT ALGORITHMS; METEOROLOGICAL INFORMATION; NEURAL NETWORK (NN); PARTICLE SWARM OPTIMIZATION ALGORITHM; SOFT COMPUTING MODELS; WIND POWER FORECAST; WIND POWER FORECASTING; WIND POWER PRODUCTION;

WEATHER FORECASTING;

EID: 84908314382     PISSN: 0363907X     EISSN: 1099114X     Source Type: Journal    
DOI: 10.1002/er.3171     Document Type: Article

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