Data-driven building energy modelling – An analysis of the potential for generalisation through interpretable machine learning
Author:
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference61 articles.
1. State-of-the-art on research and applications of machine learning in the building life cycle;Hong;Energy Build,2020
2. Surrogate modelling for sustainable building design – a review;Westermann;Energy Build,2019
3. Linking design and operation phase energy performance analysis through regression-based approaches;Manfren;Front Energy Res,2020
4. More buildings make more generalizable models—benchmarking prediction methods on open electrical meter data;Miller;Mach Learn Knowl Extr,2019
5. The gap between predicted and measured energy performance of buildings: a framework for investigation;de Wilde;Autom ConStruct,2014
Cited by 43 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. Development and calibration of apartment building energy model based on architectural and energy consumption characteristics;Renewable and Sustainable Energy Reviews;2024-12
2. A Novel Hybrid Deep Learning Framework for Evaluating Field Evapotranspiration Considering the Impact of Soil Salinity;Water Resources Research;2024-09
3. Artificial Neural Network Application in Construction and the Built Environment: A Bibliometric Analysis;Buildings;2024-08-06
4. Modeling building carbon emissions by using MARS algorithm: A case of Istanbul;Building and Environment;2024-08
5. An artificial intelligence framework for predicting operational energy consumption in office buildings;Energy and Buildings;2024-08
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