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
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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。
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来源期刊
SICS Software-Intensive Cyber-Physical Systems
SICS Software-Intensive Cyber-Physical Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
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