| Capturing electricity market dynamics in strategic market participation using neural network constrained optimization M Dolányi, K Bruninx, JF Toubeau, E Delarue IEEE Transactions on Power Systems, 2023 | 4 | 2023 |
| Risk-based constraints for the optimal operation of an energy community M Dolanyi, K Bruninx, JF Toubeau, E Delarue IEEE Transactions on Smart Grid, https://ieeexplore.ieee.org/document/980, 2022 | 4 | 2022 |
| Review of Machine Learning Techniques for Optimal Power Flow H Khaloie, M Dolanyi, JF Toubeau, F Vallée Available at SSRN 4681955, 2024 | 3 | 2024 |
| Comparative analysis of risk-aversion and strategic investment behavior in generation expansion S Kaminski, M Dolanyi, K Bruninx, E Delarue Electric Power Systems Research 210, 108082, 2022 | 2 | 2022 |
| Exposing the variety of equilibria in oligopolistic electricity markets with strategic storage M Dolányi, K Bruninx, E Delarue INFORMS 2020, Location: Online, 2020 | 1 | 2020 |
| Neural network informed day-ahead scheduling of pumped hydro energy storage P Favaro, M Dolányi, F Vallée, JF Toubeau Energy 289, 129999, 2024 | | 2024 |
| Triggering a variety of Nash-equilibria in oligopolistic electricity markets M Dolányi, K Bruninx, E Delarue Optimization and Engineering, 1-37, 2023 | | 2023 |
| Risk-based constraints with correlated uncertainties for the optimal operation of an energy community M Dolányi, K Bruninx, JF Toubeau, E Delarue Authorea Preprints, 2023 | | 2023 |
| Capturing Electricity Market Dynamics in the Optimal Trading of Strategic Agents using Neural Network Constrained Optimization M Dolányi, K Bruninx, JF Toubeau, E Delarue Authorea Preprints, 2023 | | 2023 |
| Data-driven risk-based scheduling of energy communities participating in day-ahead and real-time electricity markets M Dolányi, K Bruninx, JF Toubeau, E Delarue Authorea Preprints, 2023 | | 2023 |
| Value-Oriented Loss Function Tuning for Timeseries Forecasting in Energy Markets R Smets, JF Toubeau, M Dolanyi, K Bruninx, E Delarue 2023 INFORMS Annual Meeting, Date: 2023/10/15-2023/10/18, Location: Phoenix, 2023 | | 2023 |
| Sp-R-IP: A Decision-Focused Learning Strategy for Linear Programs that Avoids Overfitting R Smets, M Dolanyi, JF Toubeau, K Bruninx, E Delarue | | 2023 |
| Facilitating Market Participation of Flexible Energy Resources via Mathematical Programming M Dolányi | | 2022 |
| Machine Learning for Improved Gas Network Models in Coordinated Energy Systems A Arrigo, M Dolányi, K Bruninx, JF Toubeau arXiv preprint arXiv:2209.12731, 2022 | | 2022 |
| Implications of risk-aversion, strategic behavior and elastic energy demand for capacity market designs S Kaminski, M Dolanyi, K Bruninx, H Höschle, E Delarue INFORMS Annual Meeting, Location: Anaheim, 2021 | | 2021 |
| Learning To Optimally Excite Electricity Markets Via Constrained Optimization Of A Neural Network M Dolányi INFORMS 2021, Location: Online, 2021 | | 2021 |
| Data-driven risk-based constraints for the optimal bidding and scheduling of an energy community M Dolányi, K Bruninx, JF Toubeau, E Delarue EURO, Location: Athens, 2021 | | 2021 |
| Strategic operation of storage in energy markets: an EPEC approach M Dolányi, K Bruninx, G Deconinck, E Delarue EURO, Location: Dublin, Ireland, 2019 | | 2019 |
| Value-Oriented Price Forecasting for Arbitrage Strategies of Energy Storage Systems Through Loss Function Tuning R Smets, JF Toubeau, M Dolanyi, K Bruninx, E Delarue Available at SSRN 4799745, 0 | | |
| Value-Oriented Forecasting of Imbalance Prices Through Loss Function Tuning for Optimal Control of Energy Storage Systems R Smets, JF Toubeau, M Dolanyi, K Bruninx, E Delarue Available at SSRN 4648734, 0 | | |
