Wave Energy Converter

Wave energy converters (WECs) aim to harness the power of ocean waves for electricity generation, a crucial step towards renewable energy diversification. Current research heavily focuses on optimizing energy capture efficiency and mitigating structural stress through advanced control strategies, employing machine learning techniques like reinforcement learning (with architectures such as transformers and LSTMs) and model predictive control to manage complex wave dynamics and improve power take-off system performance. These advancements are vital for enhancing the reliability and economic viability of WECs, paving the way for wider deployment and integration into global energy grids. Optimization algorithms, including novel hybrid approaches, are also being developed to improve both the design and placement of WECs.