Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments

Jincheng Zhang; Xiaowei Zhao; Deborah Greaves; Siya Jin

doi:10.1016/j.apenergy.2023.121072

Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments

Jincheng Zhang
, Xiaowei Zhao^*
, Deborah Greaves
, Siya Jin

^*Corresponding author for this work

University of Warwick

Research output: Contribution to journal › Article › peer-review

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Original language	English
Number of pages	0
Journal	Applied Energy
Volume	341
Issue number	0
Early online date	14 Apr 2023
DOIs	https://doi.org/10.1016/j.apenergy.2023.121072
Publication status	Published - 1 Jul 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1016/j.apenergy.2023.121072

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title = "Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments",

author = "Jincheng Zhang and Xiaowei Zhao and Deborah Greaves and Siya Jin",

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T1 - Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments

AU - Zhang, Jincheng

AU - Zhao, Xiaowei

AU - Greaves, Deborah

AU - Jin, Siya

PY - 2023/7/1

Y1 - 2023/7/1

UR - https://pearl.plymouth.ac.uk/secam-research/563/

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DO - 10.1016/j.apenergy.2023.121072

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JO - Applied Energy

JF - Applied Energy

IS - 0

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Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments

UN SDGs

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