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

  • Sundaravelpandian SingaravelEmail author
  • Philipp Geyer
Conference paper


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.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.KU LeuvenLeuvenBelgium

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