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    Large Language Model Assisted Peer-to-Peer Energy Trading System

    Source: Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 004::page 04026031-1
    Author:
    Shen, Yixin
    ,
    Zhang, Cuo
    ,
    Liu, Xiao
    ,
    Liu, Xiaotian
    ,
    Qiu, Jing
    DOI: 10.1061/JLEED9.EYENG-6440
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe peer-to-peer (P2P) energy trading market has been proposed as an effective mechanism to manage renewable energy sources. It enables users to transition from traditional consumers to prosumers and monetize their surplus energy to derive ...
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      Large Language Model Assisted Peer-to-Peer Energy Trading System

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312035
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    contributor authorShen, Yixin
    contributor authorZhang, Cuo
    contributor authorLiu, Xiao
    contributor authorLiu, Xiaotian
    contributor authorQiu, Jing
    date accessioned2026-08-20T11:19:40Z
    date available2026-08-20T11:19:40Z
    date copyright2026/05/17
    date issued2026
    identifier otherJLEED9.EYENG-6440.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312035
    description abstractAbstractThe peer-to-peer (P2P) energy trading market has been proposed as an effective mechanism to manage renewable energy sources. It enables users to transition from traditional consumers to prosumers and monetize their surplus energy to derive ...
    publisherAmerican Society of Civil Engineers
    titleLarge Language Model Assisted Peer-to-Peer Energy Trading System
    typeJournal Article
    journal volume152
    journal issue4
    journal titleJournal of Energy Engineering
    identifier doi10.1061/JLEED9.EYENG-6440
    journal fristpage04026031-1
    journal lastpage04026031-16
    page16
    treeJournal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 004
    contenttypeFulltext
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