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Results for Wave energy converter

Publications & Outputs

  1. Integrated deep learning model for predicting electrical power generation from wave energy converter

    Ni, C., Ma, X. & Wang, J., 11/11/2019, 2019 25th IEEE International Conference on Automation & Computing (ICAC'19). IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  2. Development of Multi-Oscillating Water Columns as Wave Energy Converters

    Doyle, S. & Aggidis, G. A., 1/06/2019, In: Renewable and Sustainable Energy Reviews. 107, p. 75-86 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

    Ni, C. & Ma, X., 13/08/2018, In: Energies. 11, 8, 18 p., 2097.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Numerical and experimental analysis of the power output of a point absorber wave energy converter in irregular waves

    Rahmati, M. & Aggidis, G. A., 1/01/2016, In: Ocean Engineering. 111, p. 483-492 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Developments in the design of the PS Frog MK5 Wave Energy Converter.

    Aggidis, G. A., Bradshaw, A., McCabe, A. & Meadowcroft, J., 1/01/2006, In: Renewable Energy. 31, 2, p. 141-151 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review