Antoine Dupuis
PhD student at Department of Electrical Engineering; Division of Electricity
- E-mail:
- antoine.dupuis@angstrom.uu.se
- Visiting address:
- Ångströmlaboratoriet, Lägerhyddsvägen 1
752 37 UPPSALA - Postal address:
- Box 65
751 03 UPPSALA
Publications
Recent publications
-
Predicting nonlinear motion instabilities in wave energy converters using data-driven methods
Part of Results in Engineering (RINENG), 2026
- DOI for Predicting nonlinear motion instabilities in wave energy converters using data-driven methods
- Download full text (pdf) of Predicting nonlinear motion instabilities in wave energy converters using data-driven methods
-
Emulating Wave Energy Converter operation in irregular waves using a robotized dry test rig
Part of Applied Ocean Research, 2026
- DOI for Emulating Wave Energy Converter operation in irregular waves using a robotized dry test rig
- Download full text (pdf) of Emulating Wave Energy Converter operation in irregular waves using a robotized dry test rig
-
Towards Efficient Learning of Neural Fluid Force Estimators from CFD-Sampled Regular Waves
Part of Vol. 16 (2025): Proceedings of the European Wave and Tidal Energy Conference, 2025
-
Experimental study and surrogate modeling of a scaled eddy current power-take-off
Part of Innovations in Renewable Energies Offshore, p. 1-10, 2024
All publications
Articles in journal
-
Predicting nonlinear motion instabilities in wave energy converters using data-driven methods
Part of Results in Engineering (RINENG), 2026
- DOI for Predicting nonlinear motion instabilities in wave energy converters using data-driven methods
- Download full text (pdf) of Predicting nonlinear motion instabilities in wave energy converters using data-driven methods
-
Emulating Wave Energy Converter operation in irregular waves using a robotized dry test rig
Part of Applied Ocean Research, 2026
- DOI for Emulating Wave Energy Converter operation in irregular waves using a robotized dry test rig
- Download full text (pdf) of Emulating Wave Energy Converter operation in irregular waves using a robotized dry test rig
Conference papers
-
Towards Efficient Learning of Neural Fluid Force Estimators from CFD-Sampled Regular Waves
Part of Vol. 16 (2025): Proceedings of the European Wave and Tidal Energy Conference, 2025
-
Experimental study and surrogate modeling of a scaled eddy current power-take-off
Part of Innovations in Renewable Energies Offshore, p. 1-10, 2024