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Jonathan Dumas
Jonathan Dumas
Research engineer at RTE (French TSO)
Verified email at rte-france.com - Homepage
Title
Cited by
Cited by
Year
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
J Dumas, AWD Lanaspeze, B Cornélusse, A Sutera
Applied Energy, 2021
602021
Probabilistic forecasting of imbalance prices in the Belgian context
J Dumas, I Boukas, MM de Villena, S Mathieu, B Cornélusse
2019 16th International Conference on the European Energy Market (EEM), 1-7, 2019
222019
An analysis and an affordable regularization technique for the spurious force oscillations in the context of direct-forcing immersed boundary methods
M Belliard, M Chandesris, J Dumas, Y Gorsse, D Jamet, C Josserand, ...
Computers & Mathematics with applications 71 (5), 1089-1113, 2016
172016
A probabilistic forecast-driven strategy for a risk-aware participation in the capacity firming market
J Dumas, C Cointe, A Wehenkel, A Sutera, X Fettweis, B Cornélusse
IEEE Transactions on Sustainable Energy 13 (2), 1234-1243, 2021
132021
Deep learning-based multi-output quantile forecasting of PV generation
J Dumas, C Cointe, X Fettweis, B Cornélusse
2021 IEEE Madrid PowerTech, 2021
132021
Coordination of operational planning and real-time optimization in microgrids
J Dumas, S Dakir, C Liu, B Cornélusse
Electric Power Systems Research 190, 106634, 2021
112021
Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies
J Dumas, B Cornélusse
arXiv preprint arXiv:1901.05052, 2018
82018
The energy return on investment of whole energy systems: application to Belgium
J Dumas, A Dubois, P Thiran, P Jacques, F Contino, B Cornélusse, ...
Biophysical Economics and Sustainability, 2022
72022
Probabilistic forecasting for sizing in the capacity firming framework
J Dumas, B Cornélusse, X Fettweis, A Giannitrapani, S Paoletti, A Vicino
2021 IEEE Madrid PowerTech, 2021
62021
Denoising diffusion probabilistic models for probabilistic energy forecasting
EH Capel, J Dumas
2023 IEEE Belgrade PowerTech, 1-6, 2023
52023
Stochastic and deterministic formulations for capacity firming nominations
J Dumas, B Cornélusse, A Giannitrapani, S Paoletti, A Vicino
2020 International Conference on Probabilistic Methods Applied to Power …, 2020
52020
Multi-objective near-optimal necessary conditions for multi-sectoral planning
A Dubois, J Dumas, P Thiran, G Limpens, D Ernst
Applied Energy 350, 121789, 2023
42023
Dynamic sizing of required balancing capacities: the operational approach in France
J Dumas, V Terrier, F Bienvenu, S Finet, N Grisey
2023 19th International Conference on the European Energy Market (EEM), 2023
12023
A probabilistic forecast-driven strategy for a risk-aware participation in the capacity firming market: extended version
J Dumas, C Cointe, A Wehenkel, A Sutera, X Fettweis, B Cornélusse
arXiv preprint arXiv:2105.13801, 2021
12021
Stochastic optimization for unit commitment applied to the security of supply
J Dumas
arXiv preprint arXiv:2312.05143, 2023
2023
Deep Generative Methods for Producing Forecast Trajectories in Power Systems
N Weill, J Dumas
arXiv preprint arXiv:2309.15137, 2023
2023
Denoising diffusion probabilistic models for probabilistic energy forecasting
E Hernandez Capel, J Dumas
arXiv e-prints, arXiv: 2212.02977, 2022
2022
Microgrid management with weather-based forecasting of energy generation, consumption and prices
J Dumas
arXiv preprint arXiv:2107.01034, 2021
2021
Weather-based forecasting of energy generation, consumption and price for electrical microgrids management
J Dumas
arXiv preprint arXiv:2107.01034, 2021
2021
Densys school 2021: introduction to point and probabilistic forecasting
J Dumas
Densys school 2021, 2021
2021
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