In the increasingly renewable and sustainable energy sources, artificial intelligence (AI) has emerged to help in the advancement of efficiency, scaling of energy costs, and overcoming complex problems. This research examined the efficacy and contributions of large language models (LLMs) and AI, the leading example of massive AI language models, in the field of renewable and sustainable energy (RSE). RSE is seen to be well suited to the treatment of LLMs and AI in their earliest stages when tackling these processes, such as data processing, modeling, and forecasting. The LLMs and AI insights help progress intelligent grids with controlled energy distribution and efficient taking up the demand and also provide a key component of knowledge about economics and policy: telling us what can be done to incentivize renewable and sustainable energy, with benefits to our environment and sustainability. It promotes the development of solar energy, wind energy, energy biomass, hydropower, geothermal energy, storage energy, tidal and wave energy technology, and the refinement of advanced biofuels. Consequently, this research chapter introduces the possibilities that AI and LLMs and AI may hold for the future of renewable energy and yield the possibility of an accelerated transition toward a sustainable energy framework.