Renewable energy microgrids are essential for improving social mobility in rural areas lacking traditional grid access. This paper presents a socio-technical framework that optimizes energy distribution, driven by key quality of life (QOL) factors like water access, education, safety, and healthcare. The framework leverages mathematical programming to support automatic decision-making, ensuring that energy allocation aligns with community needs and priorities. Our model helps communities by providing technology-driven energy solutions that address critical services and enhance social mobility. Initial findings, using synthetic data, demonstrate the framework’s ability to manage energy resources efficiently while prioritizing the most vital needs. To further improve reliability, we address uncertainties in energy availability, such as fluctuating renewable resources, by integrating both qualitative and quantitative data into the decision-making process. This adaptability ensures that essential services are met, even in constrained conditions. Through our engagement at the ICoRD conference, we seek collaborators to help us refine the model through real-world testing, making it adaptable and scalable for diverse rural settings.