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Ultra-Short-Term Photovoltaic Power Forecasting Approach Based on Cloud Features and ViT+LSTM Neural Network
Key Technologies for High\-Precision Prediction\, Risk Assessment and Operation of Meteorology\-Sensitive Power Systems\·Hosted by YU Guangzheng\，YANG Mao\，LI Gengfeng\，LI Ran\，LI Yuanzheng\，WAN Can\· | 更新时间：2026-09-28

    • Ultra-Short-Term Photovoltaic Power Forecasting Approach Based on Cloud Features and ViT+LSTM Neural Network

    • Electric Power Construction   Vol. 47, Issue 3, Pages: 1-11(2026)

    • DOI：10.12204/j.issn.1000-7229.2026.03.001    

      CLC： TM615

    • Received：06 August 2025，

      Revised：2025-09-22，

      Published：01 March 2026

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  • DONG Haomiao,ZHANG Yao,LIN Fan,et al.Ultra-Short-Term Photovoltaic Power Forecasting Approach Based on Cloud Features and ViT+LSTM Neural Network[J].Electric Power Construction,2026,47(03):1-11. DOI： 10.12204/j.issn.1000-7229.2026.03.001.

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