Short-term prediction of wind power using EMD and chaotic theory

Communications in Nonlinear Science and Numerical Simulation

Volumn 17, Issue 2, 2012, Pages 1036-1042

  An, Xueli ^a   Jiang, Dongxiang ^a   Zhao, Minghao ^a   Liu, Chao ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Chaotic characteristics identification; Empirical mode decomposition; Grey forecasting model; Hybrid prediction model; Largest Lyapunov exponent prediction method; Power prediction

Indexed keywords

DIFFERENTIAL EQUATIONS; ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC UTILITIES; INTRINSIC MODE FUNCTIONS; LYAPUNOV FUNCTIONS; LYAPUNOV METHODS; TIME SERIES; WEATHER FORECASTING; WIND FARM;

CHAOTIC CHARACTERISTICS IDENTIFICATIONS; EMPIRICAL MODE DECOMPOSITION; GREY FORECASTING MODEL; HYBRID PREDICTION MODELS; LARGE LYAPUNOV EXPONENT PREDICTION METHOD; LARGEST LYAPUNOV'S EXPONENT; POWER; POWER PREDICTIONS; PREDICTION METHODS; WIND FARM;

EMPIRICAL MODE DECOMPOSITION;

EID: 80052379563     PISSN: 10075704     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cnsns.2011.06.003     Document Type: Article

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