您当前的位置:
首页 >
文章列表页 >
Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU
INTELLIGENCE INTERDISCIPLINARY SCIENCE AND ENGINEERING | 更新时间:2026-01-24
    • Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU

    • In the field of wind power prediction, experts have proposed a joint prediction model based on the white whale optimization algorithm to optimize variational mode decomposition and temporal convolutional network bidirectional gated cyclic units, significantly improving prediction accuracy.
    • Advanced Engineering Sciences   Vol. 57, Issue 3, Pages: 31-41(2025)
    • DOI:10.12454/j.jsuese.202300619    

      CLC: TP391.9;TM614
    • Received:11 August 2023

      Revised:2024-01-23

      Published Online:30 May 2024

      Published:20 May 2025

    移动端阅览

  • Lu Jing,Zhang Yanru,Wang Rui.Short-term wind power forecasting based on BWO‒VMD and TCN‒BiGRU[J].Advanced Engineering Sciences,2025,57(3):31‒41. DOI: 10.12454/j.jsuese.202300619.

  •  
  •  

0

Views

670

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Short-term Wind Power Prediction: Feature Selection and ISSA–CNN–BiGRU Approach
Uncertainties of Landslide Susceptibility Prediction Modeling: Influence of Different Selection Methods of “Non-landslide Samples”
Regional Landslide Susceptibility Prediction Based on Negative Sample Selected by Coupling Information Value Method
Research on Classifying Phishing URLs Using Hybrid Architecture of LSTM and Random Forest

Related Author

WANG Rui
LU Jing
Rui WANG
Xinchao XU
Jing LU
Faming HUANG
Shiyi ZENG
Chi YAO

Related Institution

School of Computer Sci. and Technol., Henan Polytechnic Univ.
School of Infrastructure Eng., Nanchang Univ.
State Key Lab. of Geohazard Prevention and Geoenvironment Protection, Chengdu Univ. of Technol.
ARC Centre of Excellence for Geotechnical Sci.and Eng., Univ.Newcastle, Newcastle
Lab. of Digital Lands and Resources and Faculty of Earth Sciences, East China Univ. of Technol., Nanchang
0