Research on Ultra-Short-Term Wind Power Prediction Considering Source Relevance

Research on Ultra-Short-Term Wind Power Prediction Considering Source Relevance

Wind power forecasting, to a certain extent, will transform the random fluctuation of wind power output into a known situation, which is one of the effective approaches to deal with large-scale wind power integrated into power grid. Due to the use of only historical data and the lack of new informat...

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Bibliographic Details
Main Authors: Yong Sun, Zhenyuan Li, Xinnan Yu, Baoju Li, Mao Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wind power prediction
neural network
persistence forecasting
time window
numerical weather prediction
Online Access:https://ieeexplore.ieee.org/document/9154667/

Internet

https://ieeexplore.ieee.org/document/9154667/

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