The global transition to sustainable energy has intensified interest in Marine Renewable Energy (MRE)—encompassing wave, tidal, offshore wind, and ocean thermal energy. Yet the harsh, unpredictable ocean environment poses significant challenges to efficiency and reliability. This Special Issue examines how Artificial Intelligence is transforming the field: machine learning, deep learning, and digital twins now enable unprecedented accuracy in resource forecasting, structural health monitoring, and autonomous underwater maintenance. AI-driven optimization is also reshaping energy converter design and stabilizing smart grids that integrate offshore power.
We invite original contributions addressing:
Predictive analytics for ocean state parameters
AI-optimized design and control of MRE harvesting systems
Intelligent robotics for offshore asset inspection
Smart algorithms for grid integration and energy storage management
This issue aims to showcase innovative AI strategies that mitigate intermittency and high operational costs, accelerate technological advancement and industrial deployment, and support the low-carbon transition and sustainable development of coastal marine energy resources.
