Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM

Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM

Accurate prediction of short-term wind power plays an important role in the safe operation and economic dispatch of the power grid. In response to the current single algorithm that cannot further improve the prediction accuracy, this study proposes a combined wind power prediction model based on dat...

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Bibliographic Details
Main Authors: Zheng Li, Ruosi Xu, Xiaorui Luo, Xin Cao, Hexu Sun
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Energy Reports
Subjects:
Wind power prediction
Complete ensemble empirical mode decomposition with adaptive noise
Data processing
Convolutional neural network
Sample entropy
Bidirectional long short-term memory
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723010260

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http://www.sciencedirect.com/science/article/pii/S2352484723010260

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