Towards Real-Time Reinforcement Learning Control of a Wave Energy Converter

Towards Real-Time Reinforcement Learning Control of a Wave Energy Converter

The levellised cost of energy of wave energy converters (WECs) is not competitive with fossil fuel-powered stations yet. To improve the feasibility of wave energy, it is necessary to develop effective control strategies that maximise energy absorption in mild sea states, whilst limiting motions in h...

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Bibliographic Details
Main Authors:	Enrico Anderlini, Salman Husain, Gordon G. Parker, Mohammad Abusara, Giles Thomas
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Journal of Marine Science and Engineering
Subjects:	wave energy converter control reinforcement learning deep reinforcement learning deep learning adaptive control
Online Access:	https://www.mdpi.com/2077-1312/8/11/845

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