Profil

Rosseel Arnaud

Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Electrique

ORCID
0009-0003-9391-0651
Principaux co-auteurs référencés
DE GREVE, Zacharie  (5)
VALLEE, François  (5)
BAKHSHIDEH ZAD, Bashir  (3)
ALLARD, Julien  (1)
Bordes, François  (1)
Principales disciplines référencées
Ingénierie électrique & électronique (5)
Energie (2)

La plus téléchargée
121 téléchargements
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). https://hdl.handle.net/20.500.12907/45975

La plus citée

3 citations (OpenAlex)

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 https://hdl.handle.net/20.500.12907/45768

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.

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