Short-Term Wind Power Prediction for Wind Farm Clusters Based on SFFS Feature Selection and BLSTM Deep Learning

Short-Term Wind Power Prediction for Wind Farm Clusters Based on SFFS Feature Selection and BLSTM Deep Learning

Wind power prediction (WPP) of wind farm clusters is important to the safe operation and economic dispatch of the power system, but it faces two challenges: (1) The dimensions of the input parameters for WPP of wind farm clusters are very high so that the input parameters contain irrelevant or redun...

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Bibliographic Details
Main Authors: Xiaosheng Peng, Kai Cheng, Jianxun Lang, Zuowei Zhang, Tao Cai, Shanxu Duan
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
deep learning
feature selection
BLSTM
wind power prediction
wind farm clusters
Online Access:https://www.mdpi.com/1996-1073/14/7/1894

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https://www.mdpi.com/1996-1073/14/7/1894

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