Wind Power Short-Term Forecasting Model Based on the Hierarchical Output Power and Poisson Re-Sampling Random Forest Algorithm

Wind Power Short-Term Forecasting Model Based on the Hierarchical Output Power and Poisson Re-Sampling Random Forest Algorithm

Under the background of big data, the use of massive online data to improve the real-time characteristics and reliability of wind power prediction and to reduce the impact of wind farms on the power grid makes the power supply and demand balance important problems to solve. This paper provides a new...

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Bibliographic Details
Main Authors: Jie Hao, Changsheng Zhu, Xiuting Guo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Chi-square test
data discretization
Poisson re-sampling
random forests
wind power prediction
weighted k-nearest neighbors algorithm
Online Access:https://ieeexplore.ieee.org/document/9311608/

Internet

https://ieeexplore.ieee.org/document/9311608/

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