Internet of Energy

Program mission

Internet of Energy (IoE) program focuses on the intersection of digital technologies and the energy sector, driving innovative solutions for a more resilient and sustainable energy future. By integrating sensing technology, communication networks, and advanced data analytics, the program aims to create an interconnected energy ecosystem that is more efficient, resilient, and environmentally friendly, supporting the vision of the Energy Transition Centre. The research agenda of this program focus on strategic initiatives, where the program is solving emerging problems in energy systems that arise with the transition to digitisation. 

 

Strategic activities:

Distributed Learning and Decision-Making: Develop distributed learning and decision-making techniques to address complex energy management challenges for optimised resource utilisation, minimised environmental impact, and strengthened energy infrastructure, thus enabling effective decision-making within energy systems.

• Cyber-Physical Resilience of Energy Grids: Enhance the resilience of cyber-physical energy systems by identifying and addressing vulnerabilities in hardware, firmware, communication networks, while also defending against disruptions and cyberattacks to safeguard energy production, transmission, and distribution.

• Privacy-Preserving Coordination in Energy Systems: Establish methods that ensure privacy while enabling efficient communication, adaptive coordination, and effective operation across different components of the energy grid.

• Quantum Computing for Resilient Distributed Energy Systems: Leverage quantum computing technologies to strengthen the resilience and operational efficiency of distributed energy systems through large-scale optimisation, optimised real-time data processing, and reliable energy distribution.

• End-to-End Post-Quantum Security for Energy Networks: Develop and implement robust, post-quantum cryptographic security measures to protect energy grids from emerging threats posed by quantum computing advancements.

• Scalability of Energy Infrastructure: Develop scalable solutions that allow the energy grid to efficiently manage growing demands and complexities, supporting the expansion and diversification of energy resources.

• AI-Based Monitoring and Responses for Energy Systems: Deploy AI-driven monitoring systems to oversee energy grid operations and automate responses to potential disruptions or inefficiencies, ensuring continuous and optimised energy flow.

Program Leader

 

Associate Professor Sara Khalifa

Members