Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interva ....Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interval-based adversarial training step. The project is expected to help data-driven Australian organisations and industries to better quantify and manage forecasting uncertainties. This project will provide them with significant cost savings through better decision making and more robust planning.Read moreRead less
Cyber-Physical Security Analyses and Enhancing the Resilience of Smart Grid. The electrical power industry in Australia is undergoing a massive revolution to an intelligent, low-carbon and sustainable smart grid environment. However, due to the heavy reliance on cyber infrastructure and the intermittence of renewables, smart grid will inevitably introduce new security issues, for example, cyber security. This project is to investigate emerging security issues together in a comprehensive framewor ....Cyber-Physical Security Analyses and Enhancing the Resilience of Smart Grid. The electrical power industry in Australia is undergoing a massive revolution to an intelligent, low-carbon and sustainable smart grid environment. However, due to the heavy reliance on cyber infrastructure and the intermittence of renewables, smart grid will inevitably introduce new security issues, for example, cyber security. This project is to investigate emerging security issues together in a comprehensive framework where quantitative models and analysis methods will be explored for smart grid cascading failure analyses. Then innovative three-stage reinforcement strategies (three lines of defence) will be developed to enhance the resilience of smart grid against natural disasters and intentional attacks, and potential large blackouts. Read moreRead less