Optimization of wind power and its variability with a computational intelligence approach

IEEE Transactions on Sustainable Energy

Volumn 5, Issue 1, 2014, Pages 228-236

  Zhang, Zijun ^a   Zhou, Qiang ^a   Kusiak, Andrew ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b University of Iowa   (United States)

Author keywords

Artificial immune system; Data mining; Evolutionary algorithm; Particle swarm optimization; Wind turbine control; Wind power optimization

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; COMPUTATIONAL INTELLIGENCE ALGORITHMS; COMPUTATIONAL RESULTS; COMPUTER EXPERIMENT; DATA-DRIVEN APPROACH; INDUSTRIAL DATUM; OPTIMIZATION MODELING; WIND TURBINE CONTROL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA MINING; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; PARTICLE SWARM OPTIMIZATION (PSO); STATISTICAL PROCESS CONTROL;

WIND POWER;

EID: 84891027432     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2013.2281354     Document Type: Article

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