AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities

This article explores the transformative potential of AI-powered microgrids in enhancing energy resilience and equity in regional communities. It addresses the critical attributes of AI systems necessary to support decentralized renewable energy infrastructures. The article highlights the significant energy burdens faced by low-income households and the environmental impact of the energy sector. It discusses the rise of community-centered renewable microgrids as a solution to these challenges, emphasizing their scalability, integration with renewable energy sources, and ability to provide equitable energy distribution. The article also delves into the role of AI in optimizing microgrid operations, improving grid design, and supporting regulatory frameworks. Through various collaborative projects, including partnerships with academic institutions and community organizations, the article showcases practical implementations of AI-enhanced microgrids and their societal benefits. The article concludes by emphasizing the importance of flexible AI architectures, interoperability, and multi-modal integration in advancing microgrid technology. This paper supports the transition to a more resilient and equitable energy future through a multi-dimensional design and participatory planning.