Profil

Rosseel Arnaud

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

ORCID
0009-0003-9391-0651
Main Referenced Co-authors
DE GREVE, Zacharie  (5)
VALLEE, François  (5)
BAKHSHIDEH ZAD, Bashir  (3)
ALLARD, Julien  (1)
Bordes, François  (1)
Main Referenced Disciplines
Electrical & electronics engineering (5)
Energy (2)

Publications (total 5)

The most downloaded
120 downloads
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

The most cited

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 verified by 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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