Development of artificial neural network and automated Life Cycle Assessments for cloud-based residential energy estimations

  • Investigators

      • Dr Victor Bunster
      • Santiago Munoz Vela
      • Dilshi Dharmarathna
      • Monash Art, Design and Architecture
      • Dr Philip Christopher
      • Professor Tuan Ngo
      • University of Melbourne
  • Partner organisation

    • Utecture Australia
    • University of Melbourne
  • Funded by

    • Building 4.0 CRC
  • Undertaken within


In partnership with the University of Melbourne and uTecure Australia, we are developing an embodied carbon emissions dataset for Australia and New Zealand. These coefficients, together with a cloud-based artificial neural network for operational energy estimations, will provide real-time environmental performance estimates to uTecture users. The research is funded by the Building 4.0 CRC.