Dumas, J., Dubois, A., Thiran, P., Jacques, P., Contino, F., Cornélusse, B., & Limpens, G. (2022). The energy return on investment of whole energy systems: application to Belgium. Biophysical Economics and Sustainability. doi:10.48550/arXiv.2205.06727 Peer reviewed |
Dumas, J., Wehenkel, A., Lanaspeze, D., Cornélusse, B., & Sutera, A. (01 January 2022). A deep generative model for probabilistic energy forecasting in power systems: normalizing flows. Applied Energy, 305, 117-871. doi:10.1016/j.apenergy.2021.117871 Peer Reviewed verified by ORBi |
Dumas, J. (2021). Microgrid management with weather-based forecasting of energy generation, consumption and prices [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/261535 |
Dumas, J., Cointe, C., Wehenkel, A., Sutera, A., Fettweis, X., & Cornélusse, B. (2021). A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market. IEEE Transactions on Sustainable Energy. doi:10.1109/TSTE.2021.3117594 Peer Reviewed verified by ORBi |
Dumas, J., Cornélusse, B., Fettweis, X., Giannitrapani, A., Paoletti, S., & Vicino, A. (2021). Probabilistic forecasting for sizing in the capacity firming framework. In 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9494947 Peer reviewed |
Dumas, J. (2021). Densys school 2021: introduction to point and probabilistic forecasting. (Densys school 2021). |
Dumas, J. (June 2021). Powertech 2021 presentation: Probabilistic forecasting for sizing in the capacity firming framework [Paper presentation]. 14th IEEE PES PowerTech Conference. |
Dumas, J. (June 2021). Powertech 2021 presentation: Deep learning-based multi-output quantile forecasting of PV generation [Paper presentation]. Powertech 2021. |
Dumas, J., Dubois, A., & Rigo, F. (2021). Le climat et moi. (GENV0002-1 – Energie et développement durable (Sustainable energy)). |
Dumas, J., Dakir, S., Liu, C., & Cornélusse, B. (2021). Coordination of operational planning and real-time optimization in microgrids. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106634 Peer Reviewed verified by ORBi |
Dumas, J., cointe, C., Fettweis, X., & Cornélusse, B. (2021). Deep learning-based multi-output quantile forecasting of PV generation. In 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9494976 Peer reviewed |
Dumas, J. (14 December 2020). Energy management of a grid-connected photovoltaic plant coupled with a battery energy storage device using a robust approach [Paper presentation]. IA meeting du 14/12/2020. |
Dumas, J. (14 December 2020). Presentation of The price of robustness [Paper presentation]. IA meeting du 14/12/2020. |
Dumas, J. (30 November 2020). Presentation of Bidding Wind Energy Exploiting Wind Speed Forecasts [Paper presentation]. IA meeting du 30/11/2020. |
Dumas, J. (16 November 2020). Presentation of a deep learning-based multi-output quantile forecasting of PV generation [Paper presentation]. Montefiore AI Meetings 16/11/2020. |
Dumas, J. (2020). lecture on "Residential Electricity Pricing Offer". (ULiège - Université de Liège, ELEC0018-1 – Energy markets). |
Dumas, J. (2020). lecture on "Residential energy supplier". (ULiège - Université de Liège, ELEC0018-1 – Energy markets). |
Dumas, J. (2020). Lecture on "Introduction to forecasting". (Liège university, ELEN0445-1 Microgrids). |
Dumas, J. (2020). Lecture on "Introduction to probabilistic forecasting". (ULiège - Université de Liège, ELEN0445-1 Microgrids). |
Dumas, J. (28 October 2020). Introduction to sustainable ICT [Paper presentation]. Liège university Montefiore PhD meeting. |
Dumas, J. (August 2020). Presentation of Stochastic and deterministic formulations for capacity firming nominations [Paper presentation]. 16th International Conference on Probabilistic Methods Applied to Power Systems. |
Dumas, J., Cornélusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (2020). Stochastic and deterministic formulations for capacity firming nominations. In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). doi:10.1109/PMAPS47429.2020.9183646 Peer reviewed |
Dumas, J. (July 2020). Presentation of the coordination of operational planning and real-time optimization in microgrids [Paper presentation]. XXI Power Systems Computation Conference. |
Dumas, J. (April 2020). Presentatation of Energy management of a grid-connected PV plant coupled with a battery energy storage device using a stochastic approach [Paper presentation]. ULiège Montefiore PES seminar. |
Dumas, J. (2020). ELEN0445 forecasting assignment 2020. (ELEN0445). |
Dumas, J. (September 2019). Presentation of the paper Probabilistic Forecasting of Imbalance Prices in the Belgian Context [Paper presentation]. 16th European Energy Market Conference (EEM 2019), Ljubljana, Slovenia. |
Dumas, J., Boukas, I., Manuel de Villena Millan, M., Mathieu, S., & Cornélusse, B. (2019). Probabilistic Forecasting of Imbalance Prices in the Belgian Context. In 2019 16th International Conference on the European Energy Market (EEM). doi:10.1109/EEM.2019.8916375 Peer reviewed |
Dumas, J., & Cornélusse, B. (2018). Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies. (arXiv version). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231948. |
Dumas, J., Gorsse, Y., Chandesris, M., Jamet, D., Belliard, M., & Josserand, C. (March 2016). An analysis and an affordable regularization technique for the spurious force oscillations in the context of direct-forcing immersed boundary methods. Computers and Mathematics with Applications, 71 (5), 1089-1113. doi:10.1016/j.camwa.2016.01.024 Peer Reviewed verified by ORBi |
Dumas, J. (2012). Numerical simulation of fluid structure interaction in two phase flow [Master’s dissertation, Ecole Nationale Supérieure des Mines de Paris]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/252539 |
Dumas, J. (2011). Research & Development of Welding & Inspection technologies applicable for use in the ITER HNB Cell [Master’s dissertation, Ecole Polytechnique]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/252536 |