Wind turbine power prediction based on wind energy utilization coefficient and multivariate polynomial regression
Author:
Affiliation:
1. Key Laboratory of Transport Industry of Marine Technology and Control Engineering, Shanghai Maritime University, Shanghai 201306, China
Publisher
AIP Publishing
Subject
Renewable Energy, Sustainability and the Environment
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0074657
Reference39 articles.
1. Models for monitoring wind farm power
2. The prediction and diagnosis of wind turbine faults
3. Wind turbines power curve variability
4. A comprehensive review on wind turbine power curve modeling techniques
5. Scheduling and conducting power performance testing of a small wind turbine
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