A Hybrid Algorithm for Short-Term Wind Power Prediction

A Hybrid Algorithm for Short-Term Wind Power Prediction

Accurate and effective wind power prediction plays an important role in wind power generation, distribution, and management. Inthis paper, a hybrid algorithm based on gradient descent and meta-heuristic optimization is designed to improve the accuracy of prediction and reduce the computational burde...

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Bibliographic Details
Main Authors: Zhenhua Xiong, Yan Chen, Guihua Ban, Yixin Zhuo, Kui Huang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
shuffled frog leaping algorithm (SFLA)
back propagation neural network (BPNN)
root mean square propagation (RMSProp)
artificial neural network (ANN)
wind power forecasting
short term predict
Online Access:https://www.mdpi.com/1996-1073/15/19/7314

Internet

https://www.mdpi.com/1996-1073/15/19/7314

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