Poster abstract: Big Data beats engineering in residential energy performance assessment—a case study

IF 2.4 Q1 Computer Science
Gilbert Fridgen, Florian Guggenmos, Christian Regal, Marco Schmidt
{"title":"Poster abstract: Big Data beats engineering in residential energy performance assessment—a case study","authors":"Gilbert Fridgen, Florian Guggenmos, Christian Regal, Marco Schmidt","doi":"10.1007/s00450-017-0365-4","DOIUrl":null,"url":null,"abstract":"Engineering-based energy performance assessments, e.g., required for the award of energy certificates, evoke significant effort and lack accuracy. This paper introduces the idea of building energy performance assessment on Big Data Analytics and information on buildings and occupants while respecting people’s privacy. Using a case study, we investigate whether the proposed method can outperform engineering-based methods in the field of residential buildings in terms of cost and accuracy.","PeriodicalId":41265,"journal":{"name":"SICS Software-Intensive Cyber-Physical Systems","volume":"313 6","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2017-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICS Software-Intensive Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00450-017-0365-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

Abstract

Engineering-based energy performance assessments, e.g., required for the award of energy certificates, evoke significant effort and lack accuracy. This paper introduces the idea of building energy performance assessment on Big Data Analytics and information on buildings and occupants while respecting people’s privacy. Using a case study, we investigate whether the proposed method can outperform engineering-based methods in the field of residential buildings in terms of cost and accuracy.
海报摘要:大数据在住宅能源绩效评估中胜过工程——一个案例研究
以工程为基础的能源绩效评估,例如颁发能源证书所需的评估,需要付出很大的努力,而且缺乏准确性。本文介绍了在尊重人们隐私的同时,基于大数据分析和建筑及居住者信息的建筑能效评估理念。通过一个案例研究,我们研究了所提出的方法在成本和准确性方面是否优于基于工程的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
SICS Software-Intensive Cyber-Physical Systems
SICS Software-Intensive Cyber-Physical Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信