Radial basis function neural network based short-term wind power forecasting with Grubbs test

DRPT 2011 - 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

Volumn , Issue , 2011, Pages 1879-1882

  Wu, Xiaomei ^a,c   Hong, Binzhuo ^c   Peng, Xiangang ^c   Wen, Fushuan ^b   Huang, Jiansheng ^d  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^d UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Artificial Neural Network (ANN); Grubbs Test; Radial Basis Function (RBF); Short term Forecast; Wind Power

Indexed keywords

ACCURATE PREDICTION; ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL TEMPERATURE; FAST CONVERGENCE; GRUBBS TEST; HISTORICAL DATA; POWER OUT PUT; POWER PREDICTIONS; PREPROCESS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK; SHORT-TERM FORECASTS; WIND FARM; WIND POWER FORECASTING; WIND SPEED;

DEREGULATION; ELECTRIC POWER GENERATION; ELECTRIC UTILITIES; MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS; WEATHER FORECASTING; WIND POWER;

NEURAL NETWORKS;

EID: 80053012521     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DRPT.2011.5994206     Document Type: Conference Paper

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