Wind power data cleaning using RANSAC-based polynomial and linear regression with adaptive threshold

Wind power data cleaning using RANSAC-based polynomial and linear regression with adaptive threshold

Abstract As the global demand for clean energy continues to rise, wind power has become one of the most important renewable energy sources. However, wind power data often contains a high proportion of dense anomalies, which not only significantly affect the accuracy of wind power forecasting models...

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Bibliografiske detaljer
Main Authors: Haineng Yang, Jie Tang, Wu Shao, Jintian Yin, Baiyang Liu
Format: Article
Sprog:English
Udgivet: Nature Portfolio 2025-02-01
Serier:Scientific Reports
Fag:
Wind power
Data cleaning
Random Sample Consensus algorithm
Anomalous data
Polynomial regression
Adaptive threshold robust regression
Online adgang:https://doi.org/10.1038/s41598-025-89177-9

Internet

https://doi.org/10.1038/s41598-025-89177-9

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