Short-term wind speed prediction using an extreme learning machine model with error correction

Energy Conversion and Management

Volumn 162, Issue , 2018, Pages 239-250

  Wang, Lili ^a,b,c   Li, Xin ^d,e   Bai, Yulong ^b  

^a Chinese Academy of Sciences   (China)

^b NORTHWEST NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^e CAS CENTER FOR EXCELLENCE IN TIBETAN PLATEAU EARTH SCIENCES   (China)

Author keywords

Autoregressive integrated moving average; Empirical mode decomposition; Error revision; Extreme learning machine; Wind speed forecasting

Indexed keywords

AUTOREGRESSIVE MOVING AVERAGE MODEL; ERROR CORRECTION; FORECASTING; KNOWLEDGE ACQUISITION; MACHINE LEARNING; SPEED; TIME SERIES; WIND POWER;

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; EXTREME LEARNING MACHINE; SHORT-TERM FORECASTING; SHORT-TERM WIND SPEED FORECASTING; SHORT-TERM WIND SPEED PREDICTIONS; WIND SPEED FORECASTING;

WIND;

EID: 85044624738     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2018.02.015     Document Type: Article

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