Short-Term Wind Power Prediction Based On Particle Swarm Optimization-Extreme Learning Machine Model Combined With Adaboost Algorithm

Short-Term Wind Power Prediction Based On Particle Swarm Optimization-Extreme Learning Machine Model Combined With Adaboost Algorithm

As the proportion of wind power in the world’s electricity generation increases, improving wind power prediction accuracy is vital for making full use of wind energy and ensuring the safe and stable operation of the power grid. Given the uncertainty and volatility of wind power and the we...

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Bibliographic Details
Main Authors: Guoqing An, Ziyao Jiang, Xin Cao, Yufei Liang, Yuyang Zhao, Zheng Li, Weichao Dong, Hexu Sun
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaboost algorithm
extreme learning machine
optimization algorithm
wind power prediction
Online Access:https://ieeexplore.ieee.org/document/9468636/

Internet

https://ieeexplore.ieee.org/document/9468636/

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