Deep Component-Based Neural Network Energy Modelling for Early Design Stage Prediction

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung

Autoren

  • Philipp Florian Geyer
  • Sundaravelpandian Singaravel

Externe Organisationen

  • KU Leuven
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksDesign Computing and Cognition '18
Herausgeber/-innenJohn S. Gero
Seiten21-36
Auflage1.
ISBN (elektronisch)978-3-030-05363-5
PublikationsstatusVeröffentlicht - 8 Jan. 2019
Extern publiziertJa
VeranstaltungInternational Conference on - Design Computing and Cognition '18 (DCC) - Milan, Italien
Dauer: 2 Juli 2018 → 4 Juli 2018

Abstract

Developing low-energy buildings calls for low-energy design and operations. Estimating operational energy of a building design supports major decisions taken at early design stages. To support early design decisions, accurate and quick predictions are required; a decision taken on predictions with poor quality can result in a wrong decision.

Zitieren

Deep Component-Based Neural Network Energy Modelling for Early Design Stage Prediction. / Geyer, Philipp Florian; Singaravel, Sundaravelpandian.
Design Computing and Cognition '18. Hrsg. / John S. Gero. 1. Aufl. 2019. S. 21-36.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung

Geyer, PF & Singaravel, S 2019, Deep Component-Based Neural Network Energy Modelling for Early Design Stage Prediction. in JS Gero (Hrsg.), Design Computing and Cognition '18. 1. Aufl., S. 21-36, International Conference on - Design Computing and Cognition '18 (DCC), Italien, 2 Juli 2018. https://doi.org/10.1007/978-3-030-05363-5_2
Geyer, P. F., & Singaravel, S. (2019). Deep Component-Based Neural Network Energy Modelling for Early Design Stage Prediction. In J. S. Gero (Hrsg.), Design Computing and Cognition '18 (1. Aufl., S. 21-36) https://doi.org/10.1007/978-3-030-05363-5_2
Geyer PF, Singaravel S. Deep Component-Based Neural Network Energy Modelling for Early Design Stage Prediction. in Gero JS, Hrsg., Design Computing and Cognition '18. 1. Aufl. 2019. S. 21-36 doi: 10.1007/978-3-030-05363-5_2
Geyer, Philipp Florian ; Singaravel, Sundaravelpandian. / Deep Component-Based Neural Network Energy Modelling for Early Design Stage Prediction. Design Computing and Cognition '18. Hrsg. / John S. Gero. 1. Aufl. 2019. S. 21-36
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