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Research IOP Conf. Series, 2021

Published before Signal Analysis Lab's 2026 restructuring as Arpuro Labs AS.

Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network

A neural-network surrogate for mooring-line tensions on the OC3-Hywind floating wind turbine. Trained on 32 wave states, it reaches ~71% correlation with the reference solver at a fraction of the runtime — useful in early-stage design and fatigue iteration.

Read paper at IOP Conf. Series, 2021 →
Geir Kulia
Founder, Arpuro Labs

Authors: F.A. Bjørni, S. Lien, T. Aa. Midtgarden, Geir Kulia, A. Verma, Z. Jiang

No additional notes — see the paper at IOP Conf. Series, 2021.