Lasso-BO-QRBiGRU wind power interval prediction based on Attention mechanism

Under the background of the transformation of global energy structure to low-carbon, this paper constructs a Lasso-BO-BIGRU wind power interval prediction model based on the attention mechanism, which integrates the Lasso feature screening, Bayesian optimization and bidirectional gating loop unit and the attention mechanism. Through the verification of actual wind power data, the model performs better in terms of prediction accuracy and provides an efficient and reliable new scheme for wind power prediction.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155750
Primary Topic
Energy Load and Power Forecasting
Type
article
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article

Lasso-BO-QRBiGRU wind power interval prediction based on Attention mechanism

Shiyu Wang, Yao Dong
Energy Load and Power Forecasting
article

Lasso-BO-QRBiGRU wind power interval prediction based on Attention mechanism

Shiyu Wang, Yao Dong
article en

Abstract

Under the background of the transformation of global energy structure to low-carbon, this paper constructs a Lasso-BO-BIGRU wind power interval prediction model based on the attention mechanism, which integrates the Lasso feature screening, Bayesian optimization and bidirectional gating loop unit and the attention mechanism. Through the verification of actual wind power data, the model performs better in terms of prediction accuracy and provides an efficient and reliable new scheme for wind power prediction.

Jiangxi University of Finance and Economics (CN)
Openalex Percentile: Top 76%
Energy Load and Power Forecasting
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Lasso-BO-QRBiGRU wind power interval prediction based on Attention mechanism — Shiyu Wang, Yao Dong · (2025) | TGRS Research Map | TGRS