ArtificialRenewable IntelligenceRenewable energy (AI)Energy isTechnology rapidly transforming renewableRenewable energyEnergy systemsRenewable energy by optimizing performance, enhancing reliability, and supporting the global transition toward sustainability. Historically, energyEnergy systems evolved from centralized fossil fuel based grids toward decentralized renewableRenewable solutions, driven by environmental concerns, world conflicts, and technological advancements. The recent emergence of AI has accelerated this evolution, enabling advanced analytics, intelligent forecasting, and automated decision-making processes. AI techniques, such as machine learningMachine learning, deep neural networks, and reinforcement learning, now play crucial roles in improving several procesess such as, the efficiency and predictability of solar andWind windWind energy energyEnergy production, hydropower operations, marine energyEnergy systems, bioenergy optimizationOptimization, and geothermal energyEnergy management. Furthermore, AI-driven system-level integration is essential for integrating intermittent renewableRenewable sources into existing grids, ensuring balance, stabilityStability, and cost-effectiveness. Policy-making and financial decisions leverage AI for risk assessment, scenario analysis, and strategic planning, facilitating informed investments and robust policy frameworks. This chapter explores how AI is not merely enhancing but reshaping renewableRenewable energyEnergy systemsRenewable energy, highlighting its potential for achieving global energyEnergy and environmental goals.