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- Vol. 7 Issue 3
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Reinforcement Learning-Based Adaptive Control Optimization Framework for Real-Time Control and Energy Maximization of Wave Energy Converters Considering Hydrodynamic and Environmental Uncertainties
Authors
1 Professor, Utilities and Sustainable Engineering, The University of Trinidad & Tobago, UTT.
Article Information
- Published In
- Volume 7, Issue 3 (2026)
- Published Online
- May-June 2026
- Pages
- 01-13
- Article Type
- Original Article
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References
1. Bani Hani, Odai R., Zeiad Khafagy, Matthew Staber, Ashraf Gaffar, and Ossama Abdelkhalik. 2026. "Control of Wave Energy
Converters Using Reinforcement Learning" Journal of Marine Science and Engineering 14, no. 2: 211.
https://doi.org/10.3390/jmse14020211
2. J. Burhanudin, A. S. A. Hasim, A. M. Ishak, J. Burhanudin, and S. M. F. B. S. M. Dardin, ‘‘A review of power electronics for nearshore
wave energy converter applications,’’ IEEE Access, vol. 10, pp. 16670–16680, 2022
3. Trigueiro, J.; Botto, M.A.; Vieira, S.; Henriques, J. Control of a wave energy converter using reinforcement learning. In Proceedings
Converters Using Reinforcement Learning" Journal of Marine Science and Engineering 14, no. 2: 211.
https://doi.org/10.3390/jmse14020211
2. J. Burhanudin, A. S. A. Hasim, A. M. Ishak, J. Burhanudin, and S. M. F. B. S. M. Dardin, ‘‘A review of power electronics for nearshore
wave energy converter applications,’’ IEEE Access, vol. 10, pp. 16670–16680, 2022
3. Trigueiro, J.; Botto, M.A.; Vieira, S.; Henriques, J. Control of a wave energy converter using reinforcement learning. In Proceedings
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