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Large language models for building energy applications:Opportunities and challenges

Mingzhe Liu Liang Zhang Jianli Chen Wei-An Chen Zhiyao Yang L.James Lo Jin Wen Zheng O'Neill

建筑模拟（英文版）2025，Vol.18Issue(2)：225-234,10.

建筑模拟（英文版）2025，Vol.18Issue(2)：225-234,10.DOI:10.1007/s12273-025-1235-9

Large language models for building energy applications:Opportunities and challenges

Mingzhe Liu ¹Liang Zhang ²Jianli Chen ³Wei-An Chen ⁴Zhiyao Yang ¹L.James Lo ⁵Jin Wen ⁵Zheng O'Neill¹

作者信息

1. J Mike Walker'66 Department of Mechanical Engineering,Texas A&M University,College Station,TX 77843,USA
2. Department of Civil and Architectural Engineering and Mechanics,The University of Arizona,Tucson,AZ 85719,USA
3. College of Civil Engineering,Tongji University,Shanghai 200092,China
4. Department of Multidisciplinary Engineering,Texas A&M University,College Station,TX 77843,USA
5. Civil,Architectural and Environmental Engineering,Drexel University,Philadelphia,PA 19104,USA
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摘要

关键词

large language models/building energy applications/artificial intelligence/energy management optimization/LLM-as-agent workflows

Key words

large language models/building energy applications/artificial intelligence/energy management optimization/LLM-as-agent workflows

引用本文复制引用

Mingzhe Liu,Liang Zhang,Jianli Chen,Wei-An Chen,Zhiyao Yang,L.James Lo,Jin Wen,Zheng O'Neill..Large language models for building energy applications:Opportunities and challenges[J].建筑模拟（英文版）,2025,18(2):225-234,10.

基金项目

This work was partially supported by the U.S.National Science Foundation(Grant Number:2309030). （Grant Number:2309030）

建筑模拟（英文版）

ISSN：1996-3599

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