A kernel plus method for quantifying wind turbine performance upgrades

Author:

Lee Giwhyun1,Ding Yu23,Xie Le3,Genton Marc G.4

Affiliation:

1. Korea Army Academy; Yeongcheon Korea

2. Department of Industrial and Systems Engineering; Texas A&M University; College Station, Texas 77843 USA

3. Department of Electrical and Computer Engineering; Texas A&M University; College Station, Texas 77843 USA

4. CEMSE Division; King Abdullah University of Science and Technology; Thuwal 23955 Saudi Arabia

Funder

National Science Foundation

King Abdullah University of Science and Technology

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference20 articles.

1. Øye S The effect of vortex generators on the performance of the ELKRAFT 1000 kw turbine Aerodynamics of Wind Turbines: 9th IEA Symposium 1995 9 14

2. Pitch angle control for variable speed wind turbines using genetic algorithm controller;Belghazi;Journal of Theoretical and Applied Information Technology,2012

3. Yan Y Osadciw LA Benson G White E Inverse data transformation for change detection in wind turbine diagnostics Proceedings of the 22nd IEEE Canadian Conference on Electrical and Computer Engineering 2009 944 949 10.1109/CCECE.2009.5090267

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