Intelligent edge computing for adaptive demand response management

Project overview

Project title

Intelligent edge computing for adaptive demand response management: a distributed multi-agent approach

Project description

The project investigates distributed and edge intelligence for smart grids with distributed energy resources. The expected outcomes include technical advancement of distributed algorithms for managing energy resources at customer premises. The benefits include more resilient, secure, private, and responsive smart grid operations.

Supervisory team

University

Name of university supervisor	Professor Raja Jurdak
Name of university	Queensland University of Technology
Email address	r.jurdak@qut.edu.au
Faculty	Science

CSIRO

Name of CSIRO supervisor	Abdelwahed Khamis Volkan Dedeoglu
Email address	abdelwahed.khamis@data61.csiro.au volkan.dedeoglu@data61.csiro.au
CSIRO Research Unit	Data61

Industry

Name of industry supervisor	Kieren Astin-Walmsley
Name of business/organisation	Energy Queensland
Email address	Kieren.Astin-Walmsley@energyq.com.au

Further details

Primary location of student	Queensland University of Technology, Gardens Point Campus, 2 George Street, Brisbane City QLD 4000, Australia
Industry engagement component location	Energy Queensland Limited, 26 Reddacliff Street, Newstead, QLD 4006
Other locations	CSIRO Pullenvale, 1 Technology Court, Pullenvale QLD 4069, Australia
Ideal student skillset	Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems is desirable. Be prepared to undergo onboarding to Energy Queensland Limited, including use of system and data confidentiality and complete any other requirements.
Application close date	Open until position filled
Apply	Contact Professor Raja Jurdak