Letters in Economic Research Updates
Smart Energy Distribution for Low-Income Communities: An AI-Driven Microgrid Project
Abstract
Sunny Okonkwo
Energy access remains one of the greatest challenges in modern times, with low-income communities disproportionately affected by inadequate energy infrastructure. In Africa, energy poverty stifles economic growth, restricts access to education, and worsens health outcomes. Similarly, marginalized communities in America experience energy inequities, manifesting in high costs, unreliable supplies, and outdated infrastructure. This paper proposes a transformative solution: the adoption of Artificial Intelligence (AI)-driven microgrids for smart energy distribution. By integrating renewable energy resources, IoT technologies, and AIdriven optimization, this project aims to provide affordable, reliable, and sustainable electricity tailored to the unique needs of underserved populations. Africa serves as the focal point of this analysis, with comparative insights drawn from the implementation of microgrids in underserved American communities. The paper explores technical designs, socio-economic impacts, and strategies for scaling AI-driven microgrid solutions globally.