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.