A machine learning and deep learning based approach to predict the thermal performance of phase change material integrated building envelope
Author:
Funder
Indian Institute of Technology Delhi
Publisher
Elsevier BV
Subject
Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering
Reference55 articles.
1. Thermal stability of phase change materials used inlatent heat energy storage systems: a review;Rathod;Renew. Sustain. Energy Rev.,2013
2. Thermal energy performance of an academic building with sustainableprobing and optimization with evolutionary algorithm;Jain;Thermal Sci. Eng. Progr.,2020
3. Passive cooling techniques for building and their applicability in different climatic zones - the state of art;Bhamare;Energy Build.,2019
4. A new kind of phase change material (PCM) for energy-storing wallboard;Chen;Energy Build.,2008
5. Phase Change Material Wallboard (PCMW) melting temperature optimisation for passive indoor temperature control;Zhou;Renew. Energy,2019
Cited by 46 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Forecasting regional in-situ thermal conductivity of soil based on tree-based ensemble learning;International Communications in Heat and Mass Transfer;2024-12
2. Machine learning-based predicting of PCM-integrated building thermal performance: An application under various weather conditions in Morocco;Journal of Building Engineering;2024-11
3. CRYOMOVE: Cold chain real-time management of vaccine delivery using PCM and deep learning;Applied Thermal Engineering;2024-10
4. Heating and energy performances of a dynamic Trombe wall incorporating phase change materials under different operation modes;Journal of Building Engineering;2024-10
5. Machine learning applications for predicting liquid fraction in a PV system with NEPCM and fins;Case Studies in Thermal Engineering;2024-09
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3