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Poster abstract: Big Data beats engineering in residential energy performance assessment—a case study
SICS Software-Intensive Cyber-Physical Systems Pub Date : 2017-09-05 , DOI: 10.1007/s00450-017-0365-4
Gilbert Fridgen , Florian Guggenmos , Christian Regal , Marco Schmidt

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.

中文翻译:

海报摘要:一个案例研究,大数据在住宅能源绩效评估中胜过工程

基于工程的能源绩效评估,例如获得能源证书所需的评估,引起了巨大的努力并且缺乏准确性。本文介绍了在尊重人们隐私的同时,基于大数据分析进行建筑能源绩效评估的想法以及有关建筑物和居住者的信息。通过案例研究,我们从成本和准确性的角度研究了所提出的方法在住宅建筑领域是否能胜过基于工程的方法。
更新日期:2017-09-05
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