Wind turbine power coefficient models based on neural networks and polynomial fitting
Author:
Affiliation:
1. Department of Electrical EngineeringUniversity Carlos III of Madrid (UC3M)Calle de Butarque 1528912Spain
2. University of MarylandCollege ParkMD20742USA
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2019.1162
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