Power Curve Modeling for Wind Turbine Using Hybrid-driven Outlier Detection Method

Power Curve Modeling for Wind Turbine Using Hybrid-driven Outlier Detection Method

Wind power curve modeling is essential in the analysis and control of wind turbines (WTs), and data preprocessing is a critical step in accurate curve modeling. As traditional methods do not sufficiently consider WT models, this paper proposes a new data cleaning method for wind power curve modeling...

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Bibliographic Details
Main Authors: Qi Yao, Yang Hu, Jizhen Liu, Tianyang Zhao, Xiao Qi, Shanxun Sun
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Wind turbine
power curve
modeling outlier detection
data-driven
expert system
Online Access:https://ieeexplore.ieee.org/document/9841521/

Internet

https://ieeexplore.ieee.org/document/9841521/

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