A new hybrid iterative method for short-term wind speed forecasting

European Transactions on Electrical Power

Volumn 21, Issue 1, 2011, Pages 581-595

  Amjady, Nima ^a   Keynia, Farshid ^a   Zareipour, Hamidreza ^b  

^a SEMNAN UNIVERSITY   (Iran)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

feature selection; hybrid iterative forecast method; neural network; wind power; wind speed forecast

Indexed keywords

COMPLEX SIGNAL; FEATURE SELECTION; FORECAST ACCURACY; HYBRID ITERATIVE FORECAST METHOD; INPUT VARIABLES; ITERATIVE FORECAST METHOD; LARGE SCALE INTEGRATION; OPERATIONAL CHALLENGES; POWER PREDICTIONS; POWER SYSTEMS; SHORT-TERM WIND SPEED FORECASTING; TWO STAGE; WIND ENERGY; WIND SPEED; WIND SPEED FORECAST; WIND SPEED FORECASTING;

FEATURE EXTRACTION; ITERATIVE METHODS; NEURAL NETWORKS; POWER GENERATION; SPEED; WIND EFFECTS; WIND POWER;

FORECASTING;

EID: 79551493206     PISSN: 1430144X     EISSN: 15463109     Source Type: Journal    
DOI: 10.1002/etep.463     Document Type: Article

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