Integrated AI-driven weeks-to-years prediction of water for energy in the Tennessee Valley Authority region
The project’s aim is to improve weeks-to-years forecasts of water conditions that matter for energy production. ORNL and Georgia Institute of Technology researchers will use AI and Earth system science to predict water availability, streamflow, and river temperatures across the Tennessee Valley Authority service area. Reliable outlooks at these timescales help utilities plan fuel use, schedule maintenance, manage reservoirs, and reduce risks to hydropower and power plants that depend on cooling water. Today, operators often rely on historical patterns that may not capture changing conditions. This project aims to deliver clearer, more actionable forecasts at the watershed and reservoir scales, including the likelihood of high-risk conditions, so energy providers can make better decisions under uncertain and shifting water supplies. The goal is to create a practical pathway from advanced Earth system AI and high-performance computing to day-to-day energy resilience for a major U.S. utility region.
Partners
- Georgia Institute of Technology
