An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system

Journal of Wind Engineering and Industrial Aerodynamics

Volumn 141, Issue , 2015, Pages 27-38

  Liu, Hui ^a,b   Tian, Hong qi ^a   Li, Yan fei ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b UNIVERSITY OF ROSTOCK   (Germany)

Author keywords

Empirical mode decomposition; Neural networks; Qinghai Tibet railway; Recursive ARIMA; Strong wind; Warning system; Wind speed forecasting; Wind speed prediction

Indexed keywords

ALARM SYSTEMS; AUTOREGRESSIVE MOVING AVERAGE MODEL; BACKPROPAGATION; FORECASTING; NEURAL NETWORKS; RAILROADS; SIGNAL PROCESSING; SPEED;

EMPIRICAL MODE DECOMPOSITION; QINGHAI TIBET RAILWAY; RECURSIVE ARIMA; STRONG WINDS; WIND SPEED FORECASTING; WIND SPEED PREDICTION;

WIND;

EID: 84925012310     PISSN: 01676105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jweia.2015.02.004     Document Type: Article

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