Xavier Weiss

Motivated by the growing frequency and intensity of extreme weather events and cyberattacks, Xavier is investigating how to improve resilience in the electrical grid by leveraging new flexibility resources in the grid. His work so far has included forecasting of outages, reinforcement learning for intelligent grid operation, and optimization of Distributed Energy Resourcess (DERs) in the Nordic markets.

Xavier received his MSci in Physics and Computer Science at the University of Glasgow. He currently works as a PhD student in the Electric Power and Energy Systems (EPE) division. He is supervised by professors Lars Nordstrom and Patrik Hilber.

Xavier is part of the Resilience PhD project, funded by Energimyndigheten, together with his industrial collaborators at Vattenfall Eldistribution and Plexigrid.

Publications

X. Weiss, L. Nordström and A. Berlin, “High-level resilience strategizing using data-driven inputs,” 27th International Conference on Electricity Distribution (CIRED 2023), Rome, Italy, 2023, pp. 2973-2977, doi: 10.1049/icp.2023.0952

X. Weiss, L. Nordström and A. Berlin, “Optimization of resilience-enabling technologies for market use while prioritizing resilience-as-a-service,” 27th International Conference on Electricity Distribution (CIRED 2023), Rome, Italy, 2023, pp. 2968-2972, doi: 10.1049/icp.2023.0953

X. Weiss, S. Mohammadi, P. Khanna, M. R. Hesamzadeh and L. Nordström , “Safe Deep Reinforcement Learning for Power System Operation under Scheduled Unavailability,” 2023 IEEE Power & Energy Society General Meeting (PESGM), Orlando, FL, USA, 2023, pp. 1-5, doi: 10.1109/PESGM52003.2023.10252619.

X. Weiss, L. Nordström m, P. Hilber and A. Rolander, “Weather Event Preparedness Modelling for Distribution Systems,” 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1-5, doi: 10.1109/ISGTEUROPE56780.2023.10407604.

A. Rolander, X. Weiss, R. Eriksson and L. Nordström, “Real-Time Power System Stability Monitoring using Convolutional Neural Networks,” 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Grenoble, France, 2023, pp. 1-5, doi: 10.1109/ISGTEUROPE56780.2023.10408737.

S. Umbereen, X. Weiss, A. Rolander, M. Ghandhari and R. Eriksson, “Investigating the Performance of MLE and CNN for Transient Stability Assessment in Power Systems,” in IEEE Access, vol. 12, pp. 125095-125107, 2024, doi: 10.1109/ACCESS.2024.3452594

X. Weiss, L. Nordström, P. Hilber, E. Suren, “Procedural Generation of Communication Networks in Power Systems” 2025 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Valletta, Melta, doi: arXiv:2410.09405v1

J. Depoortere, X. Weiss, J. Driesen, L. Nordström and H. Kazmi, “Global forecast models for the Belgian combined heat and power plant stock,” 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Dubrovnik, Croatia, 2024, pp. 1-5, doi: 10.1109/ISGTEUROPE62998.2024.10863497.

X. Weiss, P. Hilber, S. D. Zarkovic and L. Nordström, “Predicting Distribution Reliability Indices based on exogenous data,” 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), Dubrovnik, Croatia, 2024, pp. 1-6, doi: 10.1109/ISGTEUROPE62998.2024.10863381

S. D. Zarkovic, X. Weiss, P. Hilber, “Addressing data deficiencies in outage reports: A qualitative and machine learning approach” Electric Power Systems Research, 2024, doi: 10.1016/j.epsr.2024.110901