2019
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Peña-Sanchez, Yerai; Faedo, Nicolás; Penalba, Markel; Giorgi, Giuseppe; Mérigaud, Alexis; García Violini, Demian; Wang, Liguo; Ringwood, John V. Finite-Order hydrodynamic Approximation by Momment-Matching (FOAMM) toolbox for wave energy applications (Proceedings Article) In: Proceedings of the 13th European Wave and Tidal Energy Conference (EWTEC) Naples, Italy, EWTEC 2019. @inproceedings{PenaSanchez2019FOAMM,
title = {Finite-Order hydrodynamic Approximation by Momment-Matching (FOAMM) toolbox for wave energy applications},
author = {Peña-Sanchez, Yerai and Faedo, Nicolás and Penalba, Markel and Giorgi, Giuseppe and Mérigaud, Alexis and García Violini, Demian and Wang, Liguo and Ringwood, John V.},
url = {https://documentcloud.adobe.com/link/review?uri=urn:aaid:scds:US:d891a843-9381-4fce-abf2-2cc0f07fbda6},
year = {2019},
date = {2019-03-10},
booktitle = {Proceedings of the 13th European Wave and Tidal Energy Conference (EWTEC) Naples, Italy},
organization = {EWTEC},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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2018
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Peña-Sanchez, Yerai; Mérigaud, Alexis; Ringwood, John V. Short-Term Forecasting of Sea Surface Elevation for Wave Energy Applications: The Autoregressive Model Revisited (Journal Article) In: IEEE Journal of Oceanic Engineering, 2018. @article{Yerai18Forecasting,
title = {Short-Term Forecasting of Sea Surface Elevation for Wave Energy Applications: The Autoregressive Model Revisited},
author = {Peña-Sanchez, Yerai and Mérigaud, Alexis and Ringwood, John V.},
url = {http://www.eeng.nuim.ie/coer/wp-content/uploads/2019/07/PeñaSanchez2018.pdf},
doi = {10.1109/JOE.2018.2875575},
year = {2018},
date = {2018-10-31},
journal = {IEEE Journal of Oceanic Engineering},
abstract = {For wave energy converter control applications, autoregressive (AR) models have been proposed as a simple wave forecasting method, solely based on measured or estimated values of the past wave elevation (or excitation force) signal. Using offline-filtered wave time series, AR models can achieve accurate forecasts several wave periods into the future. In this paper, the AR method is examined from the broader perspective of linear, Gaussian processes. In particular, assuming Gaussian waves and perfect knowledge of the wave spectrum, it is possible to derive a theoretically-optimal wave elevation predictor. It is shown that, in realistic situations, AR models can achieve a performance comparable to the theoretically optimal, spectrum-based predictor, both in simulated wave time series and using actual wave elevation records.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
For wave energy converter control applications, autoregressive (AR) models have been proposed as a simple wave forecasting method, solely based on measured or estimated values of the past wave elevation (or excitation force) signal. Using offline-filtered wave time series, AR models can achieve accurate forecasts several wave periods into the future. In this paper, the AR method is examined from the broader perspective of linear, Gaussian processes. In particular, assuming Gaussian waves and perfect knowledge of the wave spectrum, it is possible to derive a theoretically-optimal wave elevation predictor. It is shown that, in realistic situations, AR models can achieve a performance comparable to the theoretically optimal, spectrum-based predictor, both in simulated wave time series and using actual wave elevation records. |
Faedo, Nicolás; Peña-Sanchez, Yerai; Ringwood, John V. Finite-order hydrodynamic model determination for wave energy applications using moment-matching (Journal Article) In: Ocean Engineering, vol. 163, pp. 251-263, 2018. @article{Nicolas18MomemtHydrodynamicModel,
title = {Finite-order hydrodynamic model determination for wave energy applications using moment-matching},
author = {Faedo, Nicolás and Peña-Sanchez, Yerai and Ringwood, John V.},
url = {http://www.eeng.nuim.ie/coer/wp-content/uploads/2018/06/Nicolas18-Finite-order-hydrodynamic-model-determination-for-wave-energy-applications-using-moment-matching.pdf},
year = {2018},
date = {2018-09-01},
journal = {Ocean Engineering},
volume = {163},
pages = {251-263},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Peña-Sanchez, Yerai; Garcia-Abril, Marina; Paparella, Francesco; Ringwood, John V. Estimation and Forecasting of Excitation Force for Arrays of Wave Energy Devices (Journal Article) In: IEEE Transactions on Sustainable Energy, 2018. @article{Yerai18Estimation,
title = {Estimation and Forecasting of Excitation Force for Arrays of Wave Energy Devices},
author = {Peña-Sanchez, Yerai and Garcia-Abril, Marina and Paparella, Francesco and Ringwood, John V.},
url = {http://www.eeng.nuim.ie/coer/wp-content/uploads/2018/06/Yerai18Estimation.pdf},
year = {2018},
date = {2018-06-25},
journal = {IEEE Transactions on Sustainable Energy},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Peña-Sanchez, Yerai; Faedo, Nicolás; Ringwood, John V. Hydrodynamic Model Fitting for Wave Energy Applications Using Moment-Matching: A Case Study (Conference) The 28th International Ocean and Polar Engineering Conference, International Society of Offshore and Polar Engineers, Sapporo, Japan, 2018. @conference{Yerai-2018-HydrodynamicModelFittingMmentMatching,
title = {Hydrodynamic Model Fitting for Wave Energy Applications Using Moment-Matching: A Case Study},
author = {Peña-Sanchez, Yerai and Faedo, Nicolás and Ringwood, John V.},
url = {http://www.eeng.nuim.ie/coer/wp-content/uploads/2018/10/Yerai-2018-Hydrodynamic-Model-Fitting-for-Wave-Energy-Applications-Using-Moment-Matchin.pdf},
year = {2018},
date = {2018-06-15},
booktitle = {The 28th International Ocean and Polar Engineering Conference},
publisher = {International Society of Offshore and Polar Engineers},
address = {Sapporo, Japan},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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2017
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Peña-Sanchez, Yerai; Ringwood, John V. A critical comparison of AR and ARMA models for short-term wave forecasting (Conference) Proceedings of the EWTEC 2017, Cork, 2017. @conference{pena2017critical,
title = {A critical comparison of AR and ARMA models for short-term wave forecasting},
author = {Peña-Sanchez, Yerai and Ringwood, John V.},
url = {http://www.eeng.nuim.ie/coer/wp-content/uploads/2017/10/yerainew.pdf},
year = {2017},
date = {2017-08-27},
booktitle = {Proceedings of the EWTEC 2017, Cork},
pages = {961.1 – 961.6},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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