  | ROSSEEL, A., BAKHSHIDEH ZAD, B., Vallée, F., & De Grève, Z. (October 2024). Physics-informed machine learning for forecasting power exchanges at the interface between transmission and distribution systems. Electric Power Systems Research, 238, 111097. doi:10.1016/j.epsr.2024.111097  Peer reviewed vérifié par ORBi |
  | Allard, J., Rosseel, A., Sadoine, L., Faraji, J., Brihaye, T., Capizzi Filippo, Nteziyaremye, B., Bordes, F., Vallée, F., & De Grève, Z. (2023). Technical Impacts of the Deployment of Renewable Energy Community on Electricity Distribution Grids. Proceedings of the International Conference and Exhibition on Electricity Distribution 2023 (CIRED2023). Peer reviewed |
 | Rosseel, A., Bakhshideh zad, B., De Grève, Z., & Vallée, F. (2023). Reactive Power Forecasting At The Transmission-Distribution Interfaces Using Physics Based Machine Learning. In Reactive Power Forecasting At The Transmission-Distribution Interfaces Using Physics Based Machine Learning. Italy: IET. doi:10.1049/icp.2023.0297 Peer reviewed |
 | Rosseel, A., Bakhshideh zad, B., De Grève, Z., & Vallée, F. (2023). Reactive Power Forecasting At The Transmission-Distribution Interfaces Using Physics Based Machine Learning [Poster presentation]. CIRED 2023, Rome, Italy. |
Rosseel, A., Hupez, M., Toubeau, J.-F., De Grève, Z., & Vallée, F. (2021). On the Optimization of Investments in Distributed Energy Resources in a Low Voltage Energy Community [Paper presentation]. 26th International Conference & Exhibition on Electricity Distribution, CIRED 2021, Geneva, Switzerland. |
