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  4. Poster abstract: Big Data beats engineering in residential energy performance assessment - a case study
 
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2018
Journal Article
Title

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

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.
Author(s)
Fridgen, Gilbert
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Guggenmos, Florian
Kernkompetenzzentrum Finanz- und Informationsmanagement
Regal, Christian
Kernkompetenzzentrum Finanz- und Informationsmanagement
Schmidt, Marco
Kernkompetenzzentrum Finanz- und Informationsmanagement
Journal
Computer science, research + development  
Conference
Conference on Energy Informatics 2017  
Open Access
DOI
10.1007/s00450-017-0365-4
Additional link
Full text
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • energy-efficiency

  • Big Data Analytics

  • energy prediction

  • residential building

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