您当前的位置:
首页 >
文章列表页 >
Short-Term Wind Power Prediction Method Based on Multimodal Feature Extraction-Convolutional Neural Network-Long-Short Term Memory Network
New Energy | 更新时间:2026-06-29
    • Short-Term Wind Power Prediction Method Based on Multimodal Feature Extraction-Convolutional Neural Network-Long-Short Term Memory Network

    • Power Generation Technology   Vol. 46, Issue 1, Pages: 93-102(2025)
    • DOI:10.12096/j.2096-4528.pgt.23101    

      CLC: TK 81;TM 614
    • Received:25 August 2023,

      Revised:2023-12-18,

      Published:28 February 2025

    移动端阅览

  • KUANG Honghai,GUO Qian.Short-Term Wind Power Prediction Method Based on Multimodal Feature Extraction-Convolutional Neural Network-Long-Short Term Memory Network[J].Power Generation Technology,2025,46(01):93-102. DOI: 10.12096/j.2096-4528.pgt.23101.

  •  
  •  

0

Views

142

下载量

2

CSCD

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

Related Articles

State of Health Estimation for Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy
Analysis of the Influence of Atmospheric Pressure Difference on Spatial Correlation Prediction of Wind Speed
Data Pre-processing Method Based on Distorted Data Noise Reduction and Its Application in Wind Power Prediction
Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning
Power Generation System Control of Advanced Adiabatic Compressed Air Energy Storage System Considering Array-Type Heat Exchangers

Related Author

SHI Hongsi
SUN Xinwei
WANG Kai
Xi ZHANG
Zhao YANG
Jun ZHANG
Zhengling YANG
Ruxue WAGN

Related Institution

Qingdao Rectifier Manufacturing Co., LTD.
School of Electrical Engineering, Qingdao University
Shandong Suoxiang Intelligent Technology Co., Ltd.
School of Electrical and Information Engineering, Tianjin University, Nankai District
Key Laboratory of Process Measurement and Control(Tianjin University), Nankai District
0