| Peer-to-peer electricity market analysis: From variational to generalized Nash equilibrium H Le Cadre, P Jacquot, C Wan, C Alasseur European Journal of Operational Research 282 (2), 753-771, 2020 | 178 | 2020 |
| An extended mean field game for storage in smart grids C Alasseur, I Ben Taher, A Matoussi Journal of Optimization Theory and Applications 184, 644-670, 2020 | 118 | 2020 |
| Ring the alarm! Electricity markets, renewables, and the pandemic D Benatia Energy Economics 106, 105755, 2022 | 29 | 2022 |
| Structural price model for coupled electricity markets C Alasseur, O Féron Energy Economics 75, 104-119, 2018 | 23 | 2018 |
| A novel approach to model the land mobile satellite channel through reversible jump Markov chain Monte Carlo technique C Alasseur, S Scalise, L Husson, H Ernst IEEE transactions on wireless communications 7 (2), 532-542, 2008 | 23 | 2008 |
| An adverse selection approach to power pricing C Alasseur, I Ekeland, R Élie, N Hernández Santibáñez, D Possamaï SIAM Journal on Control and Optimization 58 (2), 686-713, 2020 | 22 | 2020 |
| Colour quantisation through dithering techniques C Alasseur, AG Constantinides, L Husson Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 19 | 2003 |
| MFG model with a long-lived penalty at random jump times: application to demand side management for electricity contracts C Alasseur, L Campi, R Dumitrescu, J Zeng Annals of Operations Research 336 (1), 541-569, 2024 | 17 | 2024 |
| Regression Monte Carlo for microgrid management C Alasseur, A Balata, SB Aziza, A Maheshwari, P Tankov, X Warin ESAIM: proceedings and surveys 65, 46-67, 2019 | 14 | 2019 |
| Decomposition of high dimensional aggregative stochastic control problems A Seguret, C Alasseur, FJ Bonnans, A De Paola, N Oudjane, V Trovato | 12 | 2020 |
| A principal–agent approach to capacity remuneration mechanisms C Alasseur, H Farhat, M Saguan International Journal of Theoretical and Applied Finance 23 (08), 2050052, 2020 | 10* | 2020 |
| A mean field control approach for smart charging with aggregate power demand constraints A Séguret, C Wan, C Alasseur 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 01-05, 2021 | 9 | 2021 |
| SAT04-2: Accurate and novel modeling of the land mobile satellite channel using reversible jump Markov chain Monte Carlo technique S Scalise, C Alasseur, L Husson, H Ernst IEEE Globecom 2006, 1-6, 2006 | 6 | 2006 |
| Two approaches for effective modelling of rain-rate time-series for radiocommunication system simulations C Alasseur, A Núñez, FP Fontán, L Husson, UC Fiebig, P Mariño Space communications 20 (1-2), 69-83, 2005 | 6 | 2005 |
| Expert aggregation for financial forecasting C Remlinger, C Alasseur, M Brière, J Mikael The Journal of Finance and Data Science 9, 100108, 2023 | 5 | 2023 |
| Decomposition of convex high dimensional aggregative stochastic control problems A Seguret, C Alasseur, JF Bonnans, A De Paola, N Oudjane, V Trovato Applied Mathematics & Optimization 88 (1), 8, 2023 | 5 | 2023 |
| A mean field control approach for smart charging with aggregate power demand constraints. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) A Seguret, C Wan, C Alasseur IEEE, 2021 | 5 | 2021 |
| Deep learning algorithms for FBSDEs with jumps: applications to option pricing and a MFG model for smart grids C Alasseur, Z Bensaid, R Dumitrescu, X Warin arXiv preprint arXiv:2401.03245, 2024 | 4 | 2024 |
| Interaction effects of corporate hedging activities for a multi-risk exposure: evidence from a quasi-natural experiment M Hang, J Geyer-Klingeberg, AW Rathgeber, C Alasseur, L Wichmann Review of Quantitative Finance and Accounting 56 (2), 789-818, 2021 | 4 | 2021 |
| Application of Monte Carlo Markov chain to determination of hidden Markov model for mobile satellite channels C Alasseur, L Husson, F Perez-Fontan 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat …, 2004 | 4 | 2004 |
