Advance and prospect of machine learning based fault detection and diagnosis in air conditioning systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Advance and prospect of machine learning based fault detection and diagnosis in air conditioning systems

Published:2024-11 Issue: Volume:205 Page:114853
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Guo Yabin^ORCID,Liu Yaxin,Wang Yuhua,Wang Zhanwei,Zhang Zheng,Xue Puning

Publisher

Elsevier BV

Reference172 articles.

1. Equivalent full-load hours for assessing climate change impact on building cooling and heating energy consumption in large Asian cities;Spandagos;Appl Energy,2017

2. Data-driven methods for building control - a review and promising future directions;Maddalena;Control Eng Pract,2020

3. Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: a comprehensive review;Mirnaghi;Energy Build,2020

4. State-of-the-art on research and applications of machine learning in the building life cycle;Hong;Energy Build,2020

5. A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems;Chen;Renewable Sustainable Energy Rev,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP