AI Innovations, Renewable Energy, and Social Change: A Pathway to Global Sustainability

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the renewable energy sector, significantly improving energy generation, distribution, and consumption efficiency. Through advanced algorithms and machine learning, AI optimizes energy systems by predicting demand, managing supply, and enhancing the integration of renewable sources like solar and wind power. Beyond its technological contributions, AI plays a crucial role in promoting social change by advancing renewable energy solutions. It fosters global sustainability not only by reducing carbon emissions but also by increasing energy accessibility, especially in remote or underserved regions. This expansion of energy access has the potential to improve living standards, stimulate economic development, and create employment opportunities in green industries. Furthermore, AI supports a just energy transition by helping to ensure that the benefits of renewable energy are distributed equitably across societies, reducing the socio-economic disparities often associated with traditional energy systems. As AI continues to evolve, it holds great promise for further innovations in smart grids, energy storage solutions, and predictive maintenance, which will be vital in enhancing system reliability and sustainability. However, challenges remain, such as the need for large-scale data, addressing ethical concerns related to AI deployment, and ensuring that technological advancements do not widen existing inequalities. This review examines the integration of AI technologies into renewable energy systems, evaluates the socio-environmental implications, and highlights the challenges and opportunities that lie ahead in leveraging AI for both environmental sustainability and social progress.