This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,996 to the College of William & Mary to develop a novel AI-surrogate enhanced cyberinfrastructure for accelerating power grid simulations. The project aims to address the urgent need for more efficient computational models to meet real-time decision-making demands as power grid simulations grow in complexity. The key innovations of this project include: (1) program-behavior analysis to identify optimal code regions for AI surrogate replacement, (2) semi-automatic AI surrogate construction incorporating domain-specific physical knowledge, and (3) heterogeneous computing with multi-fidelity modeling that dynamically balances AI surrogates and traditional models across computing resources. This framework is expected to lower barriers for power grid engineers to adopt AI surrogates and enable interdisciplinary research and education between power systems and computer science domains. The award period is from May 1, 2025 to April 30, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $200.0k | 4/23/25 |