The Software Systems Lab aims to develop new methods, techniques, mechanisms and tools for building intelligent software systems.
Intelligent energy management systems use intelligent optimisation algorithms and new computational market-oriented modelling. These features will allow the project to economically optimise the capital and operational costs of distributed energy resources in smart embedded networks in different buildings and precinct designs.
This includes optimising dynamic pricing strategies for pricing-based demand response management, as well as optimising control to minimise the peak load and cost of energy supply to the embedded network participants while maximising the economic benefit to the embedded network owner.
Other benefits include optimised use and cost of the distributed energy resources in SEENs for infrastructure owners and network operators both in capacity creation (planning) and capacity utilisation (operations). An effective intelligent system to manage energy resources could also manage network loads more efficiently, reducing peak demand and improving network reliability and resilience – which in turn would reduce operational and capital costs.
The project is being led by Dr Mirek Piechowski, director of Piechowski Energy Pty Ltd, and Dr Ryszard Kowalczyk, director of the Swinburne’s Software Systems Lab and Head of Intelligent Agent Technology and Smart Energy Management Research.