| Recent developments in machine learning for energy systems reliability management L Duchesne, E Karangelos, L Wehenkel Proceedings of the IEEE 108 (9), 1656-1676, 2020 | 224 | 2020 |
| Using machine learning to enable probabilistic reliability assessment in operation planning L Duchesne, E Karangelos, L Wehenkel 2018 Power systems computation conference (PSCC), 1-8, 2018 | 37 | 2018 |
| Machine learning of real-time power systems reliability management response L Duchesne, E Karangelos, L Wehenkel 2017 IEEE Manchester PowerTech, 1-6, 2017 | 33 | 2017 |
| Machine learning for ranking day-ahead decisions in the context of short-term operation planning L Duchesne, E Karangelos, A Sutera, L Wehenkel Electric Power Systems Research 189, 106548, 2020 | 15 | 2020 |
| Sensitivity analysis of a local market model for community microgrids L Duchesne, B Cotnélusse, I Savelli 2019 IEEE Milan PowerTech, 1-6, 2019 | 13 | 2019 |
| Machine learning of proxies for power systems reliability management L Duchesne Université de Liège, Liège, Belgique, 2016 | 7 | 2016 |
| A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks M Vassallo, A Bahmanyar, L Duchesne, A Leerschool, S Gerard, ... 7th International Conference on Energy, Electrical and Power Engineering …, 2024 | 5 | 2024 |
| Supervised learning of convex piecewise linear approximations of optimization problems L Duchesne, Q Louveaux, L Wehenkel 29th European Symposium on Artificial Neural Networks, Computational …, 2021 | 4 | 2021 |
| Machine Learning of Proxies for Power Systems Reliability Management in Operation Planning L Duchesne Université de Liège, Liège, Belgique, 2021 | 3 | 2021 |
| An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks M Vassallo, A Leerschool, A Bahmanyar, L Duchesne, S Gerard, ... arXiv preprint arXiv:2409.09073, 2024 | 1 | 2024 |
| Pricing of exchanges within energy communities. Application to the MeryGrid case. L Duchesne Université de Liège, Liège, Belgique, 2019 | 1 | 2019 |
| Estimating Network Topology and Hosting Capacity: A Multi-Level Approach A Gogfraind, A Leerschool, M Cornet, L Perot, A Bahmanyar, L Duchesne, ... 28th Conference and Exhibition on Electricity Distribution (CIRED 2025), 2025 | | 2025 |
| Smart meters phase identification for topology verification: Practical challenges and insights from a case study T Théate, L Duchesne, A Leerschool, A Bahmanyar, S Gérard, ... 28th Conference and Exhibition on Electricity Distribution (CIRED 2025), 2025 | | 2025 |
| Phase Reconfiguration for Power Distribution Networks with High DERs Penetration M Vassallo, A Benzerga, A Baymanar, A Leerschool, L Duchesne, ... | | 2025 |
| SCOPE project: An innovative market-based solution to deal with injection congestion T Buisseret, D Vangulick, D Ernst, A Bahmanyar, L Duchesne, E Georges, ... 28th Conference and Exhibition on Electricity Distribution (CIED 2025), 2025 | | 2025 |
| Identification of the critical cluster of generators by during fault angle trajectory estimation for transient stability analysis A Bahmanyar, L Duchesne, G Dekeyne, C Goubet, Q Gemine, ... 23rd Power Systems Computation Conference (PSCC 2024), 2024 | | 2024 |
| Electronic appendix of paper Using Machine Learning to Enable Probabilistic Reliability Assessment in Operation Planning L Duchesne, E Karangelos, L Wehenkel | | 2018 |
Louis WehenkelProfessor of EE&CS, Montefiore Institute, ULiège - University of LiègeVerified email at ulg.ac.be