Project Grant 2045829
- This $400,000 Project Grant awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under CFDA No. 47.041 Engineering aims to revolutionize the design of learning-enabled, safety-critical systems with a focus on power systems. The project at the University of California, Berkeley will introduce the concept of "antifragility" to promote system enhancement through change and uncertainty, rather than perceiving them as detriments. Key...
- The University of Illinois was awarded a $500,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering (47.041) federal grant program. The five-year award will support research titled "CAREER: STRUCTURE-EXPLOITING OPTIMIZATION FOR POWER SYSTEMS AND APPLICATIONS TO LARGE-SCALE NETWORKS" from February 2021 through January 2026. The research focuses on developing optimization techniques to improve the...
- This Project Grant from the National Science Foundation's $200,000 Engineering program (CFDA 47.041) will fund research at the University of California, San Diego to develop a new data-driven power systems control framework with stability guarantees. The three-year award beginning March 2022 aims to design reinforcement learning algorithms for inverter-based frequency and voltage control of power grids that provide formal stability through a novel approach bridging Lyapunov control theory and...
- The University of California, Berkeley received a $276,684 project grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems to support research titled "COLLABORATIVE RESEARCH: LEARNING-BASED SCALABLE PREDICTIVE CONTROL STRATEGIES FOR HETEROGENEOUS TRAFFIC NETWORKS." The research aims to develop learning-based predictive control strategies for heterogeneous traffic networks and will be conducted from January 1, 2022 to December 31, 2024. The...
- This collaborative research project grant, awarded by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), provides $240,000 in funding to UC Riverside over a three-year period (July 1, 2025 – June 30, 2028). The project develops advanced topological and computational modeling frameworks to improve the integration and control of ultra-high-dimensional distributed energy resources within modern power transmission...
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $500,167 to the University of Texas at Arlington under the Engineering program (CFDA 47.041) for a five-year CAREER project running from October 1, 2025, through September 30, 2030. This project delivers research and analytical frameworks focused on enhancing power system stability through grid-forming control (GFM) modes of inverter-based resources (IBRs). The primary deliverables include...
- This $500,000 National Science Foundation project grant funds the development of algorithms and computational tools to optimize electric power system planning and operations during extreme events such as wildfires and hurricanes. Awarded under the Engineering program (CFDA 47.041), the five-year award to the Georgia Tech Research Corporation from February 2022 to January 2027 aims to address computational challenges associated with power grid nonlinearities, uncertainties from renewable energy...
- This five-year, $500,000 National Science Foundation project grant will support research at Arizona State University to develop innovative solutions for time-synchronized estimation in power systems. Funded through NSF's Engineering program (CFDA 47.041), this CAREER award reflects the agency's mission to advance fundamental engineering research and education. The grantee will create new mathematical techniques in convex programming, interval-theoretic learning, and distributed optimization to...
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $100,000 to the University of California, Berkeley under the Mathematical and Physical Sciences program (CFDA 47.049) on September 1, 2025, for the project "Scalable Bayesian Online Learning for Digital Twins in Power Network Resilience Against Sequential Extreme Events." This three-year grant (completion date: August 31, 2028) supports fundamental research to develop...
- This $223,406 National Science Foundation project grant, awarded under the Engineering program (CFDA 47.041), will fund the development of novel optimization models and algorithms for the operation of future electric power systems at the Massachusetts Institute of Technology from January 2023 through February 2024. Specifically, the principal investigator will create efficient and robust algorithms for optimizing power flow and network topology to support the integration of renewable, demand...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $500,000 Project Grant to the University of California, Berkeley to support research titled "CAREER: EFFICIENT COMPUTATIONAL METHODS FOR NONLINEAR OPTIMIZATION AND MACHINE LEARNING PROBLEMS WITH APPLICATIONS TO POWER SYSTEMS" from January 15, 2021 through December 31, 2025. The grant funding will support the development of efficient computational methods for solving nonlinear optimization and machine learning problems with applications to power systems. This research aligns with the goals of the NSF Engineering program (CFDA 47.041) to foster innovation and excellence in engineering research areas critical to national priorities such as energy and infrastructure. The University of California, Berkeley will conduct the research and related activities as the prime awardee, with oversight from the State of California.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $106.6k | 4/26/22 | ||
| Not listed | $0 | 5/20/21 | ||
| Not listed | $393.4k | 1/7/21 |