@inproceedings{d30c69369fa24e4199c5c5f4c9861e33,
title = "A data-based modelling approach for a vented oscillating water column wave energy converter",
abstract = "The approach documented in this paper employs system identification (SI), or data-based modelling, techniques as an alternative to model determination from first principles for modelling a vented oscillating water column wave energy converter, using real wave tank data gathered at Danmarks Tekniske Universitet. In SI, the parameters of the model are obtained from the experimental input/output data by minimizing a cost function, related to model fidelity. The main advantage of SI is its simplicity, as well as its potential validity range, where the dynamic model is valid over the full range for which the identification data was recorded. Furthermore, SI models are somewhat flexible, since they can be solely based on data (black-box models), or else can incorporate some physics-based information (grey-box models). However, a suitable excitation signal is of primary importance for the parametric model to be representative over a wide range of operating conditions.",
author = "M. Rosati and Ringwood, {J. V.} and Bingham, {H. B.} and B. Joensen and K. Nielsen",
year = "2023",
language = "English",
isbn = "978-1-032-42003-5",
series = "Marine Technology and Ocean Engineering Series",
publisher = "CRC Press",
pages = "339--350",
editor = "{Guedes Soares}, {C. }",
booktitle = "Trends in Renewable Energies Offshore",
note = "Proceedings of the 5th International Conference on Renewable Energies Offshore (Renew 2022) ; Conference date: 08-11-2022 Through 10-11-2022",
}