An Advanced Approach for Construction of Optimal Wind Power Prediction Intervals

IEEE Transactions on Power Systems

Volumn 30, Issue 5, 2015, Pages 2706-2715

  Zhang, Guoyong ^a,b   Wu, Yonggang ^a   Wong, Kit Po ^b   Xu, Zhao ^c   Dong, Zhao Yang ^d   Iu, Herbert Ho Ching ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^d UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Ensemble empirical mode decomposition; extreme learning machine; prediction intervals; sample entropy; wind power

Indexed keywords

ELECTRIC UTILITIES; ENTROPY; FORECASTING; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MACHINE COMPONENTS; WIND POWER;

ENSEMBLE EMPIRICAL MODE DECOMPOSITION; EXTREME LEARNING MACHINE; INTERVAL FORECASTS; NATIONAL RENEWABLE ENERGY LABORATORY; PREDICTION INTERVAL; SAMPLE ENTROPY; SYSTEM PLANNING AND OPERATIONS; WIND POWER PREDICTIONS;

WEATHER FORECASTING;

EID: 85027943440     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2014.2363873     Document Type: Article

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