[go: up one dir, main page]

Follow
Mihály Dolányi
Mihály Dolányi
CEO at sight-E analytics
Verified email at sight-e.app
Title
Cited by
Cited by
Year
Review of machine learning techniques for optimal power flow
H Khaloie, M Dolanyi, JF Toubeau, F Vallée
Applied Energy 388, 125637, 2025
532025
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 39 (1), 533-545, 2023
232023
Neural network informed day-ahead scheduling of pumped hydro energy storage
P Favaro, M Dolányi, F Vallée, JF Toubeau
Energy 289, 129999, 2024
182024
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
102022
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
92022
Exposing the variety of equilibria in oligopolistic electricity markets
M Dolanyi, K Bruninx, E Delarue
KU Leuven Energy Syst. Integration Model. Group Work, 2019
52019
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
Energy, 137112, 2025
32025
Triggering a variety of Nash-equilibria in oligopolistic electricity markets
M Dolányi, K Bruninx, E Delarue
Optimization and Engineering 25 (4), 1883-1919, 2024
22024
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
22022
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
2
Sp-R-IP: A Decision-Focused Learning Strategy for Linear Programs that Avoids Overfitting
R Smets, M Dolanyi, JF Toubeau, K Bruninx, E Delarue
12024
Capturing electricity market dynamics in the optimal trading of strategic agents using neural network constrained optimization
M Dolányi, K Bruninx, E Delarue
NeurIPS 2021 CCAI workshop, Location: Online, 2021
12021
Learning To Optimally Excite Electricity Markets Via Constrained Optimization Of A Neural Network
M Dolányi, K Bruninx, E Delarue
INFORMS 2021, Location: Online, 2021
12021
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
12021
Exposing the variety of equilibria in oligopolistic electricity markets with strategic storage
M Dolányi, K Bruninx, E Delarue
INFORMS 2020, Location: Online, 2020
12020
Strategic operation of storage in energy markets: an EPEC approach
M Dolányi, K Bruninx, G Deconinck, E Delarue
EURO, Location: Dublin, Ireland, 2019
12019
Forecasting Electricity Prices With Decision-Focused Learning for Storage Optimization
R Smets, E Delarue, JF Toubeau, M Dolanyi, K Bruninix
2025 21st International Conference on the European Energy Market (EEM), 1-7, 2025
2025
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
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
The system can't perform the operation now. Try again later.
Articles 1–20