Short-term wind power prediction based on CEEMDAN-DBO-VMD-TCN-BiGRU

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AI-driven new energy power prediction and optimization | 更新时间：2026-02-04

- Short-term wind power prediction based on CEEMDAN-DBO-VMD-TCN-BiGRU
- “The research progress in the field of wind power prediction was introduced, and relevant experts constructed the CEEMDAN-DBO-VMD TCN BiGRU model to provide a solution for improving prediction accuracy.”
- BLASTING Vol. 48, Issue 1, Pages: 13-22(2026)
- 作者机构：
  
  南京师范大学电气与自动化工程学院，南京 210023
- 作者简介：
- 基金信息：
  
  Jiangsu Province Carbon Peak and Carbon Neutrality Science and Technology Innovation Special Fund Project(BE2022003)
- DOI：10.3969/j.issn.2097-0706.2026.01.002
  CLC： TK 81
- Received：03 July 2025，
  
  Revised：2025-09-05，
  
  Published Online：07 January 2026，
  
  Published：25 January 2026
- 稿件说明：
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陈旭东,卞礼杰,马刚等.基于CEEMDAN-DBO-VMD-TCN-BiGRU的短期风电功率预测[J].综合智慧能源,2026,48(01):13-22.

CHEN Xudong,BIAN Lijie,MA Gang,et al.Short-term wind power prediction based on CEEMDAN-DBO-VMD-TCN-BiGRU[J].BLASTING,2026,48(01):13-22.
陈旭东,卞礼杰,马刚等.基于CEEMDAN-DBO-VMD-TCN-BiGRU的短期风电功率预测[J].综合智慧能源,2026,48(01):13-22. DOI： 10.3969/j.issn.2097-0706.2026.01.002.

CHEN Xudong,BIAN Lijie,MA Gang,et al.Short-term wind power prediction based on CEEMDAN-DBO-VMD-TCN-BiGRU[J].BLASTING,2026,48(01):13-22. DOI： 10.3969/j.issn.2097-0706.2026.01.002.

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