Residential air conditioning energy fractal analysis and short-term prediction model optimization

FU Chenghao; LIU Meng; LI Ziqiao

doi:10.11835/j.issn.2096-6717.2025.072

您当前的位置：

首页 >

文章列表页 >

Residential air conditioning energy fractal analysis and short-term prediction model optimization

更新时间：2025-08-12

- Residential air conditioning energy fractal analysis and short-term prediction model optimization
- “In the field of residential air conditioning energy consumption prediction, experts have proposed a prediction framework that combines fractal analysis and data-driven methods to effectively identify user behavior differences, reduce prediction errors, and save computation time.”
- Journal of Civil and Environmental Engineering Pages: 1-12(2025)
- 作者机构：
  
  重庆大学土木工程学院
  国家级低碳绿色建筑国际联合研究中心
  绿色建筑与人居环境营造国际合作联合实验室，重庆400045
- 作者简介：
  
  FU Chenghao (1999- ), main research interests: indoor environments and big data applications, E-mail: chenghaofu1999@163.com.
  LIU Meng （corresponding author）， professor， doctoral supervisor， E-mail： liumeng2033@126.com.
- 基金信息：
  
  Graduate Research and Innovation Foundation of Chongqing, China(CYB240070);the Fundamental Research Funds for the Central Universities(2024CDJYXTD-003;2023CDJKYJH102)
- DOI：10.11835/j.issn.2096-6717.2025.072
  CLC： TU831
- Received：22 March 2025，
  
  Online First：12 August 2025，
- 稿件说明：
移动端阅览
符程皓,刘猛,李子桥.住宅空调能耗分形分析及短期预测模型优化[J].土木与环境工程学报,

FU Chenghao,LIU Meng,LI Ziqiao.Residential air conditioning energy fractal analysis and short-term prediction model optimization[J].Journal of Civil and Environmental Engineering,
符程皓,刘猛,李子桥.住宅空调能耗分形分析及短期预测模型优化[J].土木与环境工程学报, DOI：10.11835/j.issn.2096-6717.2025.072.

FU Chenghao,LIU Meng,LI Ziqiao.Residential air conditioning energy fractal analysis and short-term prediction model optimization[J].Journal of Civil and Environmental Engineering, DOI：10.11835/j.issn.2096-6717.2025.072.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A methed for residential building energy benchmarking and energy use evaluation

Cluster Analysis of Hourly Usage Ratio of Lighting and Equipments Energy Use in Office Buildings

Related Author

Jun Li

Zhun Yu

Zhengxuan Liu

Guoqiang Zhang

Qin Li

Baizhan Li

Yong Ding

Related Institution

No data

AI导读

AI问答

Address：Journals Department, Chongqing University, 174 Shazhengjie, Chongqing 400044, P.R.China Postal code：400044
Tel：+86-23-65111322 Email：xuebao@cqu.edu.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰

Residential air conditioning energy fractal analysis and short-term prediction model optimization

DOI：10.11835/j.issn.2096-6717.2025.072