Project Grant 2300124
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal project grant award, under CFDA 47.070, provides $299,713 to the University of Nevada, Las Vegas (UNLV) to research new algorithmic methods for the resilient integration of renewable energy into the electrical grid and for making transportation more sustainable. Key objectives include developing online competitive algorithms for power-down optimization, modeling car-sharing systems, and...
- The National Science Foundation (NSF) Office of Advanced Cyberinfrastructure awarded a $599,276 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Research Foundation For The State University Of New York, doing business as Sponsored Projects Services, from October 1, 2023 to September 30, 2026. The grant supports the development of novel application-layer models, algorithms, and tools to enable energy-efficient and high-performance data...
- This Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $325,965 to the University of Massachusetts Amherst for research on managing electrical and thermal energy in sustainable computing systems from October 1, 2022 to September 30, 2024. Specifically, the award funds fundamental research to develop methods for understanding, modeling, and...
- This $260,000 National Science Foundation project grant will fund the development of data-enabled modeling, monitoring, and optimization algorithms targeting power system dynamics from 2022-2025. The University of Texas at Austin, through its parent organization the University of Texas System, will receive funding under the NSF Engineering program (CFDA 47.041) to correlate synchrophasor data and develop Gaussian process and stability-aware optimal power flow tools. Key outcomes will include...
- This federal Project Grant award of $200,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI-surrogate enhanced cyberinfrastructure to accelerate large-scale power grid simulations. The key products and services to be delivered through this award include: Program-behavior analysis to identify optimal code regions for AI surrogate replacement Semi-automatic AI surrogate construction that...
- This federal Project Grant award, with a total funding amount of $199,999, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CFDA 47.070) program. The award supports the development of an "Interaction-Aware Management Framework to Improve the Efficiency and Sustainability of Electric Transportation and Power Systems." The key products and services to be delivered through this 3-year project (01/01/2025 - 12/31/2027)...
- This federal Project Grant award, totaling $199,996 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports the development of a novel AI-surrogate enhanced cyberinfrastructure to accelerate power grid simulations. The key innovations being delivered under this 3-year project (5/1/2025 - 4/30/2028) include: (1) program-behavior analysis to identify optimal code regions for AI surrogate replacement, (2) semi-automatic AI...
- This Project Grant award, valued at $147,947, was provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) to Loyola University of Chicago. The award period runs from August 1, 2024 to July 31, 2026. The objective of this project is to develop techniques to improve the energy efficiency of software for data centers, which currently consume approximately 2% of the U.S. energy use. The key products and services to be delivered include: A framework for automated...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award (CFDA 47.070) for $199,806 provides funding to the University of Tennessee at Chattanooga (UTC) to develop an interaction-aware management framework to improve the efficiency and sustainability of electric transportation and power systems. The key technical components of the project include: 1) a robust multi-agent reinforcement learning control model for power systems to...
- Federal Grant Award Summary Texas A&M Engineering Experiment Station received a $299,999 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded September 15, 2025, with completion targeted for August 31, 2027. This collaborative research initiative will develop novel dynamic grid optimization algorithms and modeling tools designed to accommodate high penetration of renewable energy...
This $154,068 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of auction mechanism models to reduce energy costs and contribute to power grid stability in high-performance computing systems. Specifically, the University of Toledo will use the award to create machine learning models for predicting power usage and performance of parallel applications, develop an auction mechanism model incorporating renewable energy generation to lower energy costs through collective user reductions, and experimentally validate the proposed auction mechanism model via simulation. The project aims to advance energy efficiency in large-scale computing while balancing energy-performance tradeoffs. It will also provide research experiences for graduate and undergraduate students in parallel and high-performance computing and energy-efficient computing. The award period runs from October 1, 2022 to July 31, 2023.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $154.1k | 11/22/22 |