Data commons for climate, energy, and sustainability
Electricity and grid systems cohort
Team: Ram Rajagopal, Arun Majumdar, Gretchen Daily, Noah Diffenbaugh, Alexandra Konings, David Lobell
This project developed the Stanford Data Commons, an open-source platform that combines university data with Google's Data Commons to unlock sustainability research for public use. The platform allows users to query, visualize, and download datasets in real time on topics such as solar installations, air quality, and climate change projections. One such application is analyzing electrical grid data to identify unused capacity, enabling AI companies to optimize existing infrastructure rather than build new fossil-fuel plants to power their data centers.
View all projects View the electricity & grid systems cohort
Speed to power, for AI.
Building on insights provided by the Stanford Data Commons, GridCARE launched in 2024 as an essential one-stop power solution for AI data centers. The company's AI-powered proprietary platform identifies and unlocks previously untapped grid capacity to accelerate AI infrastructure deployment.
Analysis by Stanford researchers shows how strategic investment in undergrounding power lines could shave hours off some long lasting blackouts tied to extreme weather.
