  | Donon, B., Cubelier, F., Karangelos, E., Wehenkel, L., Crochepierre, L., Pache, C., Saludjian, L., & Panciatici, P. (04 June 2024). Topology-Aware Reinforcement Learning for Tertiary Voltage Control [Paper presentation]. Power Systems Computation Conference, Paris, France. |
 | Donon, B., Cubelier, F., Karangelos, E., Wehenkel, L., Crochepierre, L., Pache, C., Saludjian, L., & Panciatici, P. (2023). Topology-Aware Reinforcement Learning for Tertiary Voltage Control - Supplementary Material. https://orbi.uliege.be/handle/2268/306778 |
 | Karangelos, E., & Wehenkel, L. (2022). Towards cyber-physical security for the electric power system. (2). Pylons e-Magazine CIGRE Greece NC. |
 | Karangelos, E., & Wehenkel, L. (2022). Cyber-physical risk modeling with imperfect cyber-attackers. Electric Power Systems Research. doi:10.1016/j.epsr.2022.108437  Peer Reviewed verified by ORBi |
 | Karangelos, E., & Panciatici, P. (2021). "Cooperative game” inspired approach for multi-area power system: day ahead – intraday markets & security management taking advantage of grid flexibilities. Philosophical Transactions. Mathematical, Physical and Engineering Sciences, 379 (2202), 20190426. doi:10.1098/rsta.2019.0426 Peer Reviewed verified by ORBi |
 | Karangelos, E., & Wehenkel, L. (2020). Towards leveraging discrete grid flexibility in chance-constrained power system operation planning. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106571 Peer Reviewed verified by ORBi |
 | Karangelos, E., Perkin, S., & Wehenkel, L. (2020). Probabilistic Resilience Analysis of the Icelandic Power System under Extreme Weather. Applied Sciences. doi:10.3390/app10155089 Peer Reviewed verified by ORBi |
 | Duchesne, L., Karangelos, E., & Wehenkel, L. (2020). Recent Developments in Machine Learning for Energy Systems Reliability Management. Proceedings of the IEEE. doi:10.1109/JPROC.2020.2988715 Peer Reviewed verified by ORBi |
 | Duchesne, L., Karangelos, E., Sutera, A., & Wehenkel, L. (2020). Machine Learning for Ranking Day-ahead Decisions in the Context of Short-term Operation Planning. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106548 Peer Reviewed verified by ORBi |
 | Karangelos, E., & Wehenkel, L. (September 2019). An iterative AC-SCOPF approach managing the contingency and corrective control failure uncertainties with a probabilistic guarantee. IEEE Transactions on Power Systems, 34 (5), 3780-3790. doi:10.1109/TPWRS.2019.2902486 Peer Reviewed verified by ORBi |
 | Cauwet, M.-L., Karangelos, E., Wehenkel, L., & Georis, B. (2019). Static vs dynamic FRR sizing for power systems with increasing amounts of renewables. In IEEE Powertech, Milano, June 2019 (pp. 1-8). doi:10.1109/PTC.2019.8810534 Peer reviewed |
 | Karangelos, E., & Wehenkel, L. (2018). Post-contingency corrective control failure: A risk to neglect or a risk to control? In Proc of 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/PMAPS.2018.8440348 Peer reviewed |
 | Duchesne, L., Karangelos, E., & Wehenkel, L. (2018). Using Machine Learning to Enable Probabilistic Reliability Assessment in Operation Planning. In Power Systems Computation Conference 2018 Proceedings. PSCC. doi:10.23919/PSCC.2018.8442566 Peer reviewed |
 | Karangelos, E., & Wehenkel, L. (2017). Probabilistic Reliability Management Approach and Criteria for Power System Short-term Operational Planning. In Probabilistic Reliability Management Approach and Criteria for Power System Short-term Operational Planning. Peer reviewed |
 | Duchesne, L., Karangelos, E., & Wehenkel, L. (2017). Machine Learning of Real-time Power Systems Reliability Management Response. In PowerTech Manchester 2017 Proceedings. doi:10.1109/PTC.2017.7980927 Peer reviewed |
 | Marin, M., Karangelos, E., & Wehenkel, L. (2017). A computational model of mid-term outage scheduling for long-term system studies. In PowerTech Manchester 2017 Proceedings. doi:10.1109/PTC.2017.7980964 Peer reviewed |
 | Karangelos, E., & Wehenkel, L. (2016). Probabilistic reliability management approach and criteria for power system real-time operation. In Power Systems Computation Conference. doi:10.1109/PSCC.2016.7540871 Peer reviewed |
 | Perkin, S., Bjornsson, G., Baldursdottir, I., Palsson, M., Kristjansson, R., Stefansson, H., Jensson, P., Karangelos, E., & Wehenkel, L. (2016). Framework for Threat Based Failure Rates in Transmission System Operation. In Framework for Threat Based Failure Rates in Transmission System Operation. doi:10.1109/SMRLO.2016.34 Peer reviewed |
 | Gemine, Q., Karangelos, E., Ernst, D., & Cornélusse, B. (2013). Active network management: planning under uncertainty for exploiting load modulation. In Proceedings of the 2013 IREP Symposium - Bulk Power Systems Dynamics and Control - IX. IEEE. doi:10.1109/IREP.2013.6629406 Peer reviewed |
 | Karangelos, E., Panciatici, P., & Wehenkel, L. (2013). Whither probabilistic security management for real-time operation of power systems ? In Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP Symposium. IEEE. doi:10.1109/IREP.2013.6629408 Peer reviewed |
 | Mathieu, S., Karangelos, E., Louveaux, Q., & Ernst, D. (08 October 2012). A computationally efficient algorithm for the provision of a day-ahead modulation service by a load aggregator [Poster presentation]. DYSCO Study Day : Dynamical systems, control and optimization Kickoff of phase VII. |