您当前的位置:
首页 >
文章列表页 >
A multi-timescale photovoltaic power prediction method based on SE-CNN-BiLSTM and improved Transformer
New Energy | 更新时间:2026-03-30
    • A multi-timescale photovoltaic power prediction method based on SE-CNN-BiLSTM and improved Transformer

    • ZHEJIANG ELECTRIC POWER   Vol. 45, Issue 3, Pages: 120-130(2026)
    • DOI:10.19585/j.zjdl.202603011    

      CLC:
    • Received:16 July 2025

      Revised:2025-08-06

      Published:25 March 2026

    移动端阅览

  • LI Zengwei,WANG Yayun,ZHANG Rongfu,et al.A multi-timescale photovoltaic power prediction method based on SE-CNN-BiLSTM and improved Transformer[J].ZHEJIANG ELECTRIC POWER,2026,45(03):120-130. DOI: 10.19585/j.zjdl.202603011.

  •  
  •  

0

Views

0

下载量

0

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

Online composition identification of integrated load models based on dynamic response feature learning
An intelligent evaluation method for steady-state power quality in distribution networks incorporating dynamic correlations
A high-precision multi-human body pose estimation approach for near-electricity work in substations
A real-time topology identification method of distribution networks based on CNN-LSTM-Attention
Research on a load forecasting model based on ACMD and BiGRU-Attention

Related Author

FENG Changyou
TANG Yi
JIANG Zhentao
DONG Wei
CHENG Ying
SUN Yuanyuan
JIA Zihao
LI Qionglin

Related Institution

State Grid Zhejiang Electric Power Co., Ltd. Research Institute
School of Electrical Engineering, Southeast University
National Power Dispatching and Control Center, State Grid Corporation of China
State Grid Henan Electric Power Company
State Grid Pingdingshan Power Supply Company
0