Intelligent pattern recognition for water end uses enabling recommendations

Funding: 2023: $38,069
2024: $40,902
2025: $40,692

Project Member(s): Giurco, D., Blumenstein, M.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2023

Summary: This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project outcomes include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.

FOR Codes: Water services and utilities, Expanding knowledge in the information and computing sciences, Water resources engineering , Artificial life and complex adaptive systems

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.