Evolving energy landscapes: A computational analysis of the determinants of energy poverty

Abstract

This study investigates the complex origins of energy poverty, focusing on economic, technological, and infrastructural aspects through the analysis of peer-reviewed articles using Latent Dirichlet Allocation (LDA). By identifying key themes such as “energy scarcity,” “energy accessibility,” and “sustainable energy,” the study emphasizes the urgent need for sustainable and accessible energy solutions. It highlights the shift towards community-led renewable energy initiatives as a critical strategy to achieve climate goals and support a low-carbon future. The research addresses the socio-economic impacts of energy poverty on household income and development, particularly in developing countries. It explores the challenges associated with solar energy in rural electrification and the dynamics of rural energy use and policy. The findings emphasize the importance of region-specific strategies and policies that address the unique challenges faced by rural communities. By advocating for equitable energy distribution and the adoption of renewable resources, the study provides a comprehensive understanding of the critical issues at play. This investigation offers valuable insights for policymakers aiming to combat energy poverty and promote environmental sustainability. It contributes to a deeper understanding of how targeted strategies can alleviate energy poverty and foster sustainable development, supporting efforts towards achieving net-zero emissions and the United Nations Sustainable Development Goals. The study highlights the potential for community-driven initiatives to significantly impact the global energy landscape by presenting perspectives on energy policy and technology rollouts.