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- Artificial Intelligence-based Anomaly and Vulnerability Detection of Smart Grids with a Specific Focus on Generative Adversarial Networks (GAN) Attacks Primary supervisors: Professor Damminda Alahakoon
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quantum-inspired optimization methods for selected energy-system problems. Applying the developed methods to case studies related to ship and port energy systems, green hydrogen, smart grids, or other
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round Details Networked systems are ubiquitous in the modern world, for example, smart grids, financial systems, and industrial processes are prime examples of these. As these systems grow in size and
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with applications to power systems, smart grids, microgrids, and the control of power electronics converters. Candidates are strongly encouraged to contact the project supervisors, Prof Xin Zhang
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energy systems, hybrid power plants, smart grids, and market design. As a Postdoc in our team, you will benefit from: A dynamic, international, and inclusive research environment Opportunities to
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program if all conditions have been satisfied. About the scholarship Project details The project investigates distributed and edge intelligence for smart grids with distributed energy resources. The
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transition toward smart, energy-efficient buildings requires a deep understanding of how occupants actually use space and energy over time. Office buildings generate rich, continuous streams of power
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, environmental health Digital construction, maritime studies & management Electrical and Electronic Engineering (EEE) Renewable energy, smart power grids & energy storage Control & robotics, autonomous
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, environmental health Digital construction, maritime studies & management Electrical and Electronic Engineering (EEE) Renewable energy, smart power grids & energy storage Control & robotics, autonomous
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encouraged, including with neighbouring sections working on distributed energy systems, hybrid power plants, smart grids, power system flexibility, and market design and operation. Our team currently