Wind Turbine Power Curve Modelling with Logistic Functions Based on Quantile Regression

Wind Turbine Power Curve Modelling with Logistic Functions Based on Quantile Regression

The wind turbine power curve (WTPC) is of great significance for wind power forecasting, condition monitoring, and energy assessment. This paper proposes a novel WTPC modelling method with logistic functions based on quantile regression (QRLF). Firstly, we combine the asymmetric absolute value funct...

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Bibliographic Details
Main Authors: Bo Jing, Zheng Qian, Hamidreza Zareipour, Yan Pei, Anqi Wang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
logistic function
quantile regression
outlier filtering
wind turbine power curve
wind power
Online Access:https://www.mdpi.com/2076-3417/11/7/3048

Internet

https://www.mdpi.com/2076-3417/11/7/3048

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