bei Google ScholarTitelangaben
Fridgen, Gilbert ; Guggenmos, Florian ; Regal, Christian ; Schmidt, Marco:
Big Data beats engineering in residential energy performance assessment : a case study.
In:
Proceedings of Dach+ Conference on Energy Informatics. -
Lugano, Switzerland
,
2017
Volltext
Angaben zu Projekten
| Projekttitel: |
Offizieller Projekttitel Projekt-ID BigDapesi - Big-data analysis and forecasting of energy consumption and refurbishment costs for real estate Ohne Angabe Projektgruppe WI Künstliche Intelligenz Ohne Angabe Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität Ohne Angabe |
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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 introducesthe idea of building energy performance assessment onBig 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.