Wind power prediction based on variational mode decomposition multi-frequency combinations

Wind power prediction based on variational mode decomposition multi-frequency combinations

Abstract Because of the uncertainty and randomness of wind speed, wind power has characteristics such as nonlinearity and multiple frequencies. Accurate prediction of wind power is one effective means of improving wind power integration. Because the traditional single model cannot fully characterize...

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Bibliographic Details
Main Authors: Gang ZHANG, Hongchi LIU, Jiangbin ZHANG, Ye YAN, Lei ZHANG, Chen WU, Xia HUA, Yongqing WANG
Format: Article
Language:English
Published: IEEE 2018-12-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Wind power prediction
Variational mode decomposition
Multi-frequency combination prediction
Back propagation neural network
Autoregressive moving average model
Least square support vector machine
Online Access:http://link.springer.com/article/10.1007/s40565-018-0471-8

Internet

http://link.springer.com/article/10.1007/s40565-018-0471-8

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