SoranoAI
SoranoAI is developing a next-generation weather intelligence platform to accelerate the transition to sustainable energy. Using cutting-edge diffusion models, we generate more reliable long-range forecasts—up to 120 days ahead—to support energy traders, grid operators, and renewable planners. Our AI-to-AI ecosystem eliminates manual calibration and enables smarter scheduling of renewables and natural gas, reducing reliance on carbon-intensive backup systems. Backed by Stanford research and 72 industry interviews, our prototype demonstrates how improved forecasting can enhance grid stability, lower emissions, and drive decarbonization.
Team Members
Ayako Kawano (E-IPER PhD); Renzhi Jing (Postdoctoral Advisor, School of Medicine); Prof. Yuan Wang (PI, ESS)