Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on fore ....Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on forecast information.Read moreRead less
Mathematics and computing for integrated stockyard-centric management of mining supply chains. Blended mineral products, such as coal and iron ore, make a strong contribution to Australia's economy. Blending occurs in stockpiles, so to realise product value, stockyard and supply chain operational plans must align with blend targets. This project will provide new mathematical and computational planning tools to maximise this value.
Multi-Agent Solutions for the Development of Self-Organised and Self-Adapted Distributed Energy Generation Systems. The project aims to develop a self-organised multi-agent framework for modelling Marco-Smart Grid (SMG), dynamic coordination mechanisms between SMGs in distributed energy systems, and self-adaptation approaches for SMGs and restoration strategies to detect and recover an SMG network from faults and outages. The significance of this project lies in its promise to solve the challeng ....Multi-Agent Solutions for the Development of Self-Organised and Self-Adapted Distributed Energy Generation Systems. The project aims to develop a self-organised multi-agent framework for modelling Marco-Smart Grid (SMG), dynamic coordination mechanisms between SMGs in distributed energy systems, and self-adaptation approaches for SMGs and restoration strategies to detect and recover an SMG network from faults and outages. The significance of this project lies in its promise to solve the challenging issues of Smart Grid (SG) in multi-agent research and provide practical solutions to the development of effective and higher-quality distributed energy-generation systems with renewable energy resources. The expected outcomes are a framework, models, mechanisms and approaches in SG research and their practical applications.Read moreRead less