Discovery Early Career Researcher Award - Grant ID: DE210100274

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE210100274

Funding Status
Active

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Funded Activity Summary

Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.

Funded Activity Details

Start Date: 22-03-2021

End Date: 22-02-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $415,675.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Pattern Recognition and Data Mining | Decision Support and Group Support Systems | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Energy Services and Utilities | Market-Based Mechanisms | Management of Greenhouse Gas Emissions from Information and Communication Services |

Other Keywords

Artificial Intelligence and Image Processing | Decision Support and Group Support Systems | Energy Services and Utilities | Management of Greenhouse Gas Emissions from Information and Communication Services | Market-Based Mechanisms | Neural, Evolutionary and Fuzzy Computation | Pattern Recognition and Data Mining

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