Sunlight, air, and other natural resources are invaluable gifts that must be utilized responsibly to enhance human welfare while preserving the environment and protecting all forms of life. The reliance on fossil fuels has increasingly threatened these resources, which has made the exploration of sunlight and air as major renewable energy sources a critical focus of research and development. Artificial intelligence (AI) originally developed to mimic human thought and decision-making processes that have become a transformative force in renewable energy systems by optimizing energy generation, management, and distribution for greater efficiency and sustainability. This paper shows the advances of AI as it applied and continues to research in wind, solar, geothermal, hydro, ocean, bioenergy, hydrogen, and hybrid energy systems during the last decades. A bibliometric analysis, conducted via VOSviewer and Bibliometrix, of the literature was conducted systematically by reviewing relevant journal articles between 2000 and 2025. AI and energy provide a recent lit of energy trends in research, collaboration maps, future use applications, and newly explored domains. Different studies shows AI technologies measurability improve several aspects of renewable energy for the purpose of integrating operations into the grid for users, specifically forecasting, improving system stability and frequency, and obtaining a means to assess transient stability. This research offers meaningful recommendations to facilitate the development of AI, accelerate the application and promotion of AI technology in the field of renewable energy, and build efficient models, processors, and data centers through shifting to renewable energy.