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

  • Gilbert Fridgen
  • Florian Guggenmos
  • Christian Regal
  • Marco Schmidt
Special Issue Paper

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.

Keywords

Energy-efficiency Big Data Analytics Energy prediction Residential building 

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Gilbert Fridgen
    • 1
  • Florian Guggenmos
    • 1
  • Christian Regal
    • 2
  • Marco Schmidt
    • 2
  1. 1.Project Group Business & Information Systems Engineering, Fraunhofer FITUniversity of BayreuthBayreuthGermany
  2. 2.Project Group Business & Information Systems Engineering, Fraunhofer FITUniversity of AugsburgAugsburgGermany

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