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.
Authors
- Shiyu Wang (ORCID: https://orcid.org/0000-0001-7747-1028)
- Yao Dong
Institutions
- Jiangxi University of Finance and Economics (CN)
Publication Details
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1109/icesep66633.2025.11155750
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00