IMIS - Marine Onderzoeksgroepen

[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina
Optimal day-ahead trading and power control for a hybrid wind-hydrogen plant with multi-agent reinforcement learning
Ally, S.; Verstraeten, T.; Nowe, A.; Helsen, J. (2025). Optimal day-ahead trading and power control for a hybrid wind-hydrogen plant with multi-agent reinforcement learning. Journal of Physics: Conference Series 3025: 012022. https://dx.doi.org/10.1088/1742-6596/3025/1/012022
In: Journal of Physics: Conference Series. IOP Publishing: Bristol. ISSN 1742-6588; e-ISSN 1742-6596, meer
Peer reviewed article  
Beschikbaar in  Auteurs 
Author keywords
    hybrid wind-hydrogen plant;multi-agent reinforcement learning;power trading;power control;offshore wind farm
Auteurs  Top 
  • Ally, S.
  • Verstraeten, T.
  • Nowe, A.
  • Helsen, J., meer
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs