AMPS: Bayesian Physics-Informed Statistical Methods for Modern Power Systems — NSF Award to University of Washington (WA, $250,012
Ensuring the reliable and economical production and delivery of electric power is a critical national objective with broad economic and national security implications. Power system modeling plays a key role in enabling these objectives by allowing operators and regulators to accurately simulate how a power grid behaves
| Award title | AMPS: Bayesian Physics-Informed Statistical Methods for Modern Power Systems |
|---|---|
| Award ID | 2523615 |
| Awardee | University of Washington |
| City | SEATTLE |
| State | WA |
| Amount obligated | $250,012 |
| Principal investigator | Abel Rodriguez |
| Program | ['01002425RB NSF RESEARCH & RELATED ACTIVIT'] |
| Start date | 09/15/2025 |
| Abstract | Ensuring the reliable and economical production and delivery of electric power is a critical national objective with broad economic and national security implications. Power system modeling plays a key role in enabling these objectives by allowing operators and regulators to accurately simulate how a power grid behaves under different conditions, to design and test control strategies for various grid components, and to predict the impact of changes to the power grid structure, among other tasks. |
| Source | NSF Awards |
$799/mo
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