您当前的位置:
首页 >
文章列表页 >
Wind Farm Power Transfer Forecasting Method Based on CNN–LSTM
NEW TYPE POWER SYSTEM | 更新时间:2024-03-19
    • Wind Farm Power Transfer Forecasting Method Based on CNN–LSTM

    • Advanced Engineering Sciences   Vol. 56, Issue 2, Pages: 91-99(2024)
    • DOI:10.15961/j.jsuese.202201165    

      CLC: TM715
    • Published:20 March 2024

      Published Online:29 February 2024

      Received:28 October 2022

      Revised:18 May 2023

    扫 描 看 全 文

  • Tang Qingwei,Xiang Yue,Dai Jiakun,et al.Wind farm power transfer forecasting method based on CNN–LSTM[J].Advanced Engineering Sciences,2024,56(2):91–99 DOI: 10.15961/j.jsuese.202201165.

  •  
  •  
更多指标>

0

Views

6

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

Deep ADMM Network in Wavelet Domain for Image Restoration
Configurable Convolutional Neural Network Accelerator Based on Multi-view Parallelism
Deep Learning Prediction for Thermal Error of CNC Machine Tools Based on Attention Mechanism
PNMS Algorithm Based on Penalty Factors for Face Detection and Alignment
Structure Optimized Convolutional Neural Network Based on Unsupervised Pre-training

Related Author

No data

Related Institution

School of Electrical Eng. and Info., Sichuan Univ.
Satellite Eng. Research Inst.Shanghai, Shanghai
College of Computer Sci., Sichuan Univ.
National Key Lab. of Fundamental Sci. on Synthetic Vision., Sichuan Univ.
College of Mechanical Eng., Chongqing Univ. of Technol.
0