The applicationRenewable energy ofArtificial Intelligence (AI) artificial intelligence (AIArtificial Intelligence (AI)) to the renewable energyRenewable energy (RE) sector has created new opportunities to improve power generation sustainability, dependability, and efficiency. This chapter provides a thorough examination of the function and effects of AIArtificial Intelligence (AI) technologies in enhancing the efficiency of RE systems with an emphasis on wave energy converter (WECWave Energy Converter (WEC)) systems. An overview of RE and ocean wave energyOcean wave energy (OWE) sources is given at the beginning of the chapter, along with the categorization of WECWave Energy Converter (WEC). Then, AIArtificial Intelligence (AI)’s role in the realm of renewable energyRenewable energy is explored. The use of several AIArtificial Intelligence (AI) approaches in RE systems is examined, including machine learningMachine learning (ML), neural network (NN), reinforcement learning (RL), fuzzy logicFuzzy logic, deep learning (DL), and optimizationOptimization algorithms. The benefits of AIArtificial Intelligence (AI) in WECWave Energy Converter (WEC) system performance optimizationOptimization are given briefly. The difficulties faced while using AIArtificial Intelligence (AI) in RE are also covered in this chapter. The chapter concludes by outlining potential avenues for the future study with a focus on possible research direction and some concluding remarks. The advancement of renewable energyRenewable energy technologies and the larger objective of a justifiable and resilient energy for future are both made achievable by AIArtificial Intelligence (AI). The purpose of this effort is to deliver to engineers and academics a reasonable understanding of AIArtificial Intelligence (AI)’s revolutionary potential in renewable energyRenewable energy, namely in the advancement and functioning of WECWave Energy Converter (WEC) systems.