Two combined forecasting models based on singular spectrum analysis and intelligent optimized algorithm for short-term wind speed

Neural Computing and Applications

Volumn 30, Issue 1, 2018, Pages

  Jiang, Ping ^a   Li, Ranran ^a   Zhang, Kequan ^b  

^a DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b LANZHOU UNIVERSITY   (China)

Author keywords

Combined models; Decomposition; Optimization; Singular spectrum analysis; Wind energy; Wind speed forecast

Indexed keywords

BACKPROPAGATION ALGORITHMS; DECOMPOSITION; ELECTRIC POWER SYSTEM CONTROL; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; SPEED; WIND EFFECTS; WIND POWER; WIND TURBINES;

BACK-PROPAGATION NEURAL NETWORKS; COMBINED MODEL; CONTROL OF WIND TURBINES; HARMONY SEARCH ALGORITHMS; HYBRID OPTIMIZATION ALGORITHM; SHORT-TERM WIND SPEED FORECASTING; SINGULAR SPECTRUM ANALYSIS; WIND SPEED FORECAST;

SPECTRUM ANALYSIS;

EID: 84997051837     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-016-2679-8     Document Type: Review

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