A hybrid model for wind power forecasting based on ensemble empirical mode decomposition and wavelet neural networks

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 28, Issue 9, 2013, Pages 137-144

  Wang, He ^a   Hu, Zhijian ^a   Chen, Zhen ^a   Zhang, Menglin ^a   He, Jianbo ^a   Li, Chen ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Ensemble empirical mode decomposition(EEMD); Forecasting; Hybrid model; Wavelet neural networks(WNN); Wind power

Indexed keywords

ENGINEERING APPLICATIONS; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); HYBRID MODEL; POWER SIGNALS; PREDICTION ACCURACY; WAVELET NEURAL NETWORKS; WIND POWER FORECASTING;

FORECASTING; NEURAL NETWORKS; PHASE SPACE METHODS; SIGNAL PROCESSING; WIND POWER;

WEATHER FORECASTING;

EID: 84887222928     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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