Delft Symposium Power System Resilience and Security with AI
The Delft Symposium on Power System Resilience and Security with AI will bring together experts and researchers to explore how artificial intelligence can enhance the robustness and reliability of future energy systems. The session features a keynote by Dr. Mazaher Karimi from the University of Vaasa, who will address the challenges of maintaining resilience in integrated and increasingly complex energy networks. Following the keynote, three technical talks will delve into cutting-edge AI applications for power systems—from reinforcement learning for EV charging station placement to Neural Ordinary Differential Equations for frequency prediction and machine learning strategies for time-domain simulations. The symposium aims to foster cross-disciplinary dialogue and inspire new research directions at the intersection of power systems and artificial intelligence.
Date and Time
Location
Hosts
Registration
- Date: 26 May 2025
- Time: 12:00 PM UTC to 02:00 PM UTC
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- Delft
- Delft, Zuid-Holland
- Netherlands 2628 CD
- Building: Building 36
- Room Number: Chip Hall, Building 36
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- Co-sponsored by Delft AI Energy lab, TU Delft Power System Protection Center
- Starts 13 May 2025 10:00 PM UTC
- Ends 25 May 2025 10:00 PM UTC
- No Admission Charge
Speakers
Mazaher
Overcoming Challenges and Ensuring Resilience in Future Integrated Energy Systems
Biography:
Mazaher Karimi is an Associate Professor of Electrical Power Engineering at the School of Technology and Innovations, University of Vaasa, Finland. He is a senior member of the IEEE, and he specialises in substation automation systems and wide-area monitoring, protection, and control schemes for power system networks integrating renewable energy sources. His research actively contributes to the advancement of green electrification, with a focus on smart grid applications, distributed generation, power system stability, frequency control, and multi-energy systems. He has extensive experience in academia and collaborating with industries on cutting-edge technologies and projects related to power system resilience and renewable energy integration. He has worked closely with international research teams and industry partners to develop innovative solutions for the evolving energy landscape. His expertise extends to advanced control strategies for modern power grids, with a particular emphasis on enhancing system reliability and efficiency.
Mojtaba
EV Charging Station Recommendation Using Graph Reinforcement Learning Incorporating Power Grid and Traffic Flow
Mert
Predicting Power System Frequency with Neural Ordinary Differential Equations
Olayiwola
Exploring the Extrapolation Performance of Machine Learning Models for Power System Time Domain Simulations
Agenda
14:00 Keynote: Mazaher Karimi, “Overcoming Challenges and Ensuring Resilience in Future Integrated Energy Systems”
14:30 Technical talk 1: Mojtaba Mohammadikarachi “EV Charging Station Recommendation Using Graph Reinforcement Learning Incorporating Power Grid and Traffic Flow”
15:00 Technical talk 2: Mert Karaçelebi, “Predicting Power System Frequency with Neural Ordinary Differential Equations”
15:30 Technical talk 3: Olayiwola Arowolo “Exploring the Extrapolation Performance of Machine Learning Models for Power System Time Domain Simulations”
16:00 Closing