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A New Generation of Power Grid Monitoring Device : Integration of AI-Enabled Edge Computing Technologies (2026-2027)

Abstract

This project develops an Australian innovation, a new generation of power system monitoring device prototype, enabling intelligent computing technology at a local device level. Current power system monitoring devices only have the measuring capability and send everything back to a data centre managed by network service providers for data processing and analytics. Extensive real-time data from high precision monitoring devices introduces high costs to network service providers for data communication, data management, and centralised computation. To address these limitations, the proposed technology will perform data analytics in real-time at the device level. The extracted useful information will be sent to network service providers with a clear picture of what is happening on the grid. This will make it easier to detect network faults and respond quickly to problems. If successful, this technology will boost Australia's competitiveness in manufacturing power system monitoring devices

Experts

Dr Feifei Bai

Senior Lecturer
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Feifei Bai
Feifei Bai

Dr Yi Cui

Affiliate of UQ Cyber Research Centre
UQ Cyber Research Centre
Faculty of Engineering, Architecture and Information Technology
Senior Lecturer
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Yi Cui
Yi Cui

Associate Professor Richard Yan

ARC Future Fellow
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Affiliate of Centre for Multiscale Energy Systems
Centre for Multiscale Energy Systems
Faculty of Engineering, Architecture and Information Technology
Richard Yan
Richard Yan