Automated industrial energy baselining

Project Member(s): Berry, A., Liang, B.

Funding or Partner Organisation: Department of Industry, Innovation and Science (Innovation Connections)
Department of Industry, Innovation and Science (Innovation Connections)
New Organisation (New Fund Source)
Climatech Zero Pty Ltd (CROWLEY CARBON AUSTRALIA PTY LTD)

Start year: 2021

Summary: Develop algorithms to automatically estimate energy use baselines for industrial facilities based on industrial plant makeup and operation, and external factors (such as ambient temperature).

Publications:

Zhou, J, Yang, S, Xiao, C & Chen, F 2021, 'Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia', SN Computer Science, vol. 2, no. 3, p. 201.
View/Download from: Publisher's site

FOR Codes: Industrial Energy Conservation and Efficiency, Artificial Intelligence and Image Processing not elsewhere classified, Power and Energy Systems Engineering (excl. Renewable Power), Simulation and Modelling, Industrial energy efficiency, Electrical engineering, Computer vision and multimedia computation, Artificial intelligence

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.