High energy burden, aging grids, and limited real-time optimization options leave Missouri’s suburban and urban households with high utility costs and low resilience.
➡️ 20,000+ St. Louis City households spend up to 30% of income on energy bills - disproportionately affecting low-income, Black, and immigrant families.
➡️ Grid reliability is strained due to legacy infrastructure and lack of neighborhood-level orchestration.
➡️ Smart meters and time-of-use plans exist but adoption lags due to cost, usability, and language barriers.
GreenGrid AI uses a hybrid of IoT, serverless ML, and generative AI to coordinate energy use across households, making local power more efficient, affordable, and fair.
Key Capabilities:
✅ Neighborhood-level demand forecasting (AWS SageMaker)
✅ Edge + cloud load balancing (IoT Greengrass + Lambda)
✅ Multilingual sustainability tips (Amazon Bedrock)
✅ Simple Amplify app for households to track usage and get personalized actions- in their own language.
📌 Focus area: St. Louis City & St. Charles County, Missouri