Hybrid physics–AI digital twin framework for shared mooring systems in deepwater floating offshore wind farms
author
Nagi Nasr, Ahmed
Malhi, Avleen
Banda, Osiris Valdez
Wang, Shan
statement of authorship
Mahtab Shahin, Ahmed Nagi Nasr, Avleen Malhi, Sanja Bauk, Osiris Valdez Banda, Pentti Kujala, Ralf-Martin Soe, Shan Wang
publisher
year of publication
pages
25 p
ISSN
1993-5048
1671-9433
scientific publication
teaduspublikatsioon
language
English
subject term
keyword
AI-driven forecasting
anchor sharing
floating offshore wind farms (FOWFs)
lifecycle optimization
shared mooring systems
structural resilience
classifier
TalTech department
Shahin, M., Nagi Nasr, A., Malhi, A., Bauk, S., Banda, O. V., Kujala, P., Soe, R-M., Wang, S. Hybrid physics–AI digital twin framework for shared mooring systems in deepwater floating offshore wind farms // Journal of Marine Science and Application (2026), 25 p. https://doi.org/10.1007/s11804-026-00867-w