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Climate adaptation study of phase change materials in rural buildings in China using a machine learning approach

Yaping Zhou Yaotian Hu Jiangtian Zhu Jing Luo Xiaofeng Zhang Saleh Nasser Al-Saadi Jie Li Xiaoqin Sun

建筑模拟（英文版）2025，Vol.18Issue(11)：2963-2983,21.

建筑模拟（英文版）2025，Vol.18Issue(11)：2963-2983,21.DOI:10.1007/s12273-025-1353-4

Climate adaptation study of phase change materials in rural buildings in China using a machine learning approach

Yaping Zhou ¹Yaotian Hu ¹Jiangtian Zhu ¹Jing Luo ¹Xiaofeng Zhang ¹Saleh Nasser Al-Saadi ²Jie Li ¹Xiaoqin Sun¹

作者信息

1. School of Energy and Power Engineering,Changsha University of Science and Technology,Changsha,Hunan 410114,China
2. Department of Civil and Architectural Engineering,Sultan Qaboos University,PO Box 33,Postal Code 123,Oman
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摘要

关键词

rural residential building/phase change material/climatic factors/energy savings/machine learning/cluster

Key words

rural residential building/phase change material/climatic factors/energy savings/machine learning/cluster

引用本文复制引用

Yaping Zhou,Yaotian Hu,Jiangtian Zhu,Jing Luo,Xiaofeng Zhang,Saleh Nasser Al-Saadi,Jie Li,Xiaoqin Sun..Climate adaptation study of phase change materials in rural buildings in China using a machine learning approach[J].建筑模拟（英文版）,2025,18(11):2963-2983,21.

基金项目

This work is supported by the National Natural Science Foundation of China(52578108),the Science and Technology Department of Hunan(2023RC1057,2025JK2005,2025JJ60291). （52578108）

建筑模拟（英文版）

ISSN：1996-3599

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