| Optimization under uncertainty of thermal storage-based flexible demand response with quantification of residential users’ discomfort N Good, E Karangelos, A Navarro-Espinosa, P Mancarella IEEE Transactions on Smart Grid 6 (5), 2333-2342, 2015 | 242 | 2015 |
| 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 | 190 | 2020 |
| Towards full integration of demand-side resources in joint forward energy/reserve electricity markets E Karangelos, F Bouffard IEEE Transactions on Power Systems 27 (1), 280-289, 2011 | 178 | 2011 |
| Probabilistic reliability management approach and criteria for power system real-time operation E Karangelos, L Wehenkel 2016 Power systems computation conference (PSCC), 1-9, 2016 | 54 | 2016 |
| An iterative AC-SCOPF approach managing the contingency and corrective control failure uncertainties with a probabilistic guarantee E Karangelos, L Wehenkel IEEE Transactions on Power Systems 34 (5), 3780-3790, 2019 | 50 | 2019 |
| Whither probabilistic security management for real-time operation of power systems? E Karangelos, P Panciatici, L Wehenkel 2013 IREP Symposium Bulk Power System Dynamics and Control-IX Optimization …, 2013 | 37 | 2013 |
| Active network management: planning under uncertainty for exploiting load modulation Q Gemine, E Karangelos, D Ernst, B Cornélusse 2013 IREP Symposium Bulk Power System Dynamics and Control-IX Optimization …, 2013 | 37 | 2013 |
| 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 | 34 | 2018 |
| Machine learning of real-time power systems reliability management response L Duchesne, E Karangelos, L Wehenkel 2017 IEEE Manchester PowerTech, 1-6, 2017 | 32 | 2017 |
| Gradient-assisted radial basis function networks: theory and applications IC Kampolis, EI Karangelos, KC Giannakoglou Applied Mathematical Modelling 28 (2), 197-209, 2004 | 27 | 2004 |
| 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 | 14 | 2020 |
| Framework for threat based failure rates in transmission system operation S Perkin, G Bjornsson, I Baldursdottir, M Palsson, R Kristjansson, ... 2016 Second International Symposium on Stochastic Models in Reliability …, 2016 | 14 | 2016 |
| Cyber–physical risk modeling with imperfect cyber-attackers E Karangelos, L Wehenkel Electric Power Systems Research 211, 108437, 2022 | 11 | 2022 |
| Optimal transmission topology for facilitating the growth of renewable power generation E Little, S Bortolotti, JY Bourmaud, E Karangelos, Y Perez 2021 IEEE Madrid PowerTech, 1-6, 2021 | 11 | 2021 |
| A cooperative game theory approach to wind power generation imbalance cost allocation E Karangelos, F Bouffard Proc. Workshop on Power Systems Computation Conference, 2011 | 11 | 2011 |
| Probabilistic resilience analysis of the icelandic power system under extreme weather E Karangelos, S Perkin, L Wehenkel Applied Sciences 10 (15), 5089, 2020 | 10 | 2020 |
| Participation of electric heat pump resources in electricity markets under uncertainty N Good, A Navarro-Espinosa, P Mancarella, E Karangelos 2013 10th International Conference on the European Energy Market (EEM), 1-6, 2013 | 8 | 2013 |
| Integrating Demand Response into agent-based models of electricity markets E Karangelos, F Bouffard 2012 50th Annual Allerton Conference on Communication, Control, and …, 2012 | 8 | 2012 |
| Towards leveraging discrete grid flexibility in chance-constrained power system operation planning E Karangelos, L Wehenkel Electric Power Systems Research 188, 106571, 2020 | 7 | 2020 |
| Static vs dynamic FRR sizing for power systems with increasing amounts of renewables ML Cauwet, E Karangelos, L Wehenkel, B Georis 2019 IEEE Milan PowerTech, 1-6, 2019 | 7 | 2019 |
Louis WehenkelProfessor of EE&CS, Montefiore Institute, ULiège - University of Liège在 ulg.ac.be 的电子邮件经过验证
