AI-Driven Optimization and Predictive Control of Ocean Energy Harvesting Systems (Tidal & Wave) Using Smart Data Analytics

Renewable Energy is vital in meeting increasing energy needs while minimizing environmental consequences. Renewable energy sources, such as solar, ocean, wind, etc., provide long-term energy production solutions. Ocean Energy, including Tidal and Wave Energy, has immense potential, which remains untapped due to the highly dynamic and unpredictable nature of the marine environment. The current technology relies on static control schemes, which cannot cope with changing ocean conditions, thereby making energy extraction inefficient. This paper outlines an AI-based system for predictive control and optimization of Ocean Energy extraction using smart data analytics. The proposed method incorporates real-time ocean data, along with machine learning algorithms, to predict wave and tidal behaviour. An adjustive and adaptive control system, along with various techniques, will be employed to enhance energy efficiency, The proposed framework aims to enhance energy output, reliability and adaptability, indicating its potential for next generation energy systems.