Abstract

Energy poverty remains one of the most pressing challenges in emerging markets. Lack of access to reliable and affordable energy hampers economic growth, limits educational opportunities, and negatively impacts health outcomes. However, the rise of digital technologies-specifically Data Science (DS) and Artificial Intelligence (AI)-offers novel solutions to this problem. These technologies can transform energy infrastructure, predict demand, improve efficiency, and target energy delivery to underserved communities. This paper explores how DS and AI can be leveraged to address energy poverty in emerging markets, with case studies illustrating successful implementations and the potential for wider applications. The work highlights the critical role of these technologies in driving sustainable development goals, promoting socioeconomic growth, and enhancing the quality of life in underserved regions.

Keywords: Energy poverty, Data science, Artificial intelligence, Emerging markets, Renewable energy, Smart grids, Sustainable Development Goals (SDGs)