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2026年第47卷第4期

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
关键词：climate change;climate adaptive power systems;large language models;multi-source information integration;decision generation;system resilience
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更新时间：2026-09-04
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
关键词：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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更新时间：2026-09-04
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
关键词：electricity price prediction;vision-language model;multi-modal fusion;day-ahead prediction;combined loss function;time-frequency analysis;few-shot learning
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更新时间：2026-09-04
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
关键词：photovoltaic power generation;photovoltaic power prediction;hierarchical clustering;sample entropy;long-sequence prediction;inverted Transformer
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更新时间：2026-09-04