Intelligent pattern recognition of water end uses enabling recommendations. 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 ....Intelligent pattern recognition of water end uses enabling recommendations. 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 benefits 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.Read moreRead less
Rare Event Simulation: Protecting vital infrastructure from flood extremes. This research aims to develop Rare Event Simulation to quantify the future risk of very rare to extreme floods. Expected outcomes include a framework for the design and maintenance of critical Civil Engineering infrastructure such as dams, extrapolation of extreme storm events beyond the observed record, and an assessment of change in rare flood risk across Australia. The significance of this world-first research lies in ....Rare Event Simulation: Protecting vital infrastructure from flood extremes. This research aims to develop Rare Event Simulation to quantify the future risk of very rare to extreme floods. Expected outcomes include a framework for the design and maintenance of critical Civil Engineering infrastructure such as dams, extrapolation of extreme storm events beyond the observed record, and an assessment of change in rare flood risk across Australia. The significance of this world-first research lies in adapting rare event simulation techniques that have only been applied to computer system failure before, to water engineering design. With Australian riverine flooding projected to cause $170 billion in losses by 2050, the benefit of this proposal in reducing future infrastructure damage costs and liability is overwhelming.Read moreRead less