Clustered Hybrid Wind Power Prediction Model Based on ARMA, PSO-SVM, and Clustering Methods

Clustered Hybrid Wind Power Prediction Model Based on ARMA, PSO-SVM, and Clustering Methods

Wind power prediction is the key technology to the safe dispatch and stable operation of power system with large-scale integration of wind power. In this work, based on the historical data of wind power, wind speed and temperature, the autoregressive moving average (ARMA) prediction model and the su...

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Bibliographic Details
Main Authors: Yurong Wang, Dongchuan Wang, Yi Tang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Autoregressive moving average (ARMA) model
clustered hybrid wind power prediction model
clustering method
particle swarm optimization (PSO)
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/8964381/

Internet

https://ieeexplore.ieee.org/document/8964381/

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