Short-Term Wind Power Prediction Model Based on Secondary Decomposition and IDBO-DABiLSTM

To improve the accuracy of wind power prediction, a new wind power prediction model based on secondary decomposition and Improved Dung Beetle Optimizer(IDBO)-Dual Attention Bidirectional Long Short-Term Memory(DABiLSTM) network is proposed for the high stochasticity and strong volatility of wind pow...

Ausführliche Beschreibung

Bibliografische Detailangaben

1. Verfasser:	LU Yifeng, WANG Xiao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Editorial Office of Computer Engineering 2024-12-01
Schriftenreihe:	Jisuanji gongcheng
Schlagworte:	wind power prediction|secondary decomposition|bidirectional long short-term memory (bilstm) network|improved dung beetle optimizer (idbo)|attention mechanism
Online-Zugang:	https://www.ecice06.com/fileup/1000-3428/PDF/20241209.pdf
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