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Volume 47  Issue 4,2026
  • Frontier AI Technologies and Large Model Applications for New Power Systems

    Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives

    GU Chenjia, HE Binghao, RUAN Jiaqi, HUANG Jing, XU Zhao, WEN Fushuan

    DOI:10.12096/j.2096-4528.pgt.260401
    Keywords:climate change;climate adaptive power systems;large language models;multi-source information integration;decision generation;system resilience  
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    Updated:2026-09-01
  • Frontier AI Technologies and Large Model Applications for New Power Systems

    Research on Key Technologies for Enhancing Large Language Model Capabilities in Power Grid Dispatch and Control

    YANG Qingbo, ZHU Shuguang, LIU Dong, FENG Qiong, MA Xinxin, WANG Jiaqi, WU Shuzhou, LÜ Shang

    DOI:10.12096/j.2096-4528.pgt.260402
    Keywords:large language models;power grid dispatch and control;low-rank adaptation;retrieval-augmented generation;two-layer hybrid retrieval;grouped re-ranking  
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    Updated:2026-09-01
  • Frontier AI Technologies and Large Model Applications for New Power Systems

    Electricity Spot Market Price Prediction Based on Multi-Modal Large Models

    YANG Yuying, FAN Hang, LIU Dunnan, LIU Weican, YANG Ye, WANG Wen

    DOI:10.12096/j.2096-4528.pgt.260403
    Keywords:electricity price prediction;vision-language model (VLM);multi-modal fusion;day-ahead prediction;combined loss function;time-frequency analysis;few-shot learning  
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    Updated:2026-09-01
  • Frontier AI Technologies and Large Model Applications for New Power Systems

    Photovoltaic Power Prediction Based on Sample Entropy Clustering Decomposition-Inverted Transformer Model

    SUN Huijuan, LUO Yong, FU Xuepeng, PENG Chunhua

    DOI:10.12096/j.2096-4528.pgt.260404
    Keywords:photovoltaic power generation;photovoltaic power prediction;hierarchical clustering;sample entropy;long-sequence prediction;inverted Transformer model  
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    Updated:2026-09-01
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