Project Grant 2334256
- This National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) Project Grant award of $286,612 will support the development of an explainable AI-based performance monitoring system for distributed sustainable energy networks at the University of Nevada, Las Vegas (UNLV). The project aims to improve the reliability of sustainable energy systems, such as solar and wind power, by utilizing AI and multi-modal learning techniques to detect and classify anomalies. Key objectives...
- 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 awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $200,000 to North Carolina State University to develop a novel AI-surrogate enhanced cyberinfrastructure for accelerating large-scale power grid simulations. The project aims to address the growing need for more efficient computational models to support real-time decision-making for power grid systems. Key innovations include...
- This National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) Project Grant award of $397,000.00 to North Carolina State University (NC State) aims to develop an Artificial Intelligence Engineering System Analysis Assistant (AIESAA) to automate the creation of integrated transmission-distribution grid models. Key objectives include: Leveraging advanced machine learning techniques to streamline three crucial modeling tasks: scenario classification, reduced-order model selection and...
- 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 Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) aims to develop a comprehensive federated learning framework for the condition monitoring, data sharing, and cybersecurity of distributed wind energy systems (DWSS) in rural areas. The $300,000 award to Mississippi State University will establish an interdisciplinary collaboration with the University of Miami to research innovative technologies, including collaborative federated...
- This National Science Foundation (NSF) Project Grant from the Computer and Information Science and Engineering (CFDA 47.070) program provides $300,000 over 3 years to CAL Poly Pomona Foundation Inc., a nonprofit organization supporting California State Polytechnic University, Pomona. The project aims to develop advanced artificial intelligence and machine learning algorithms for optimal management of electric vehicle transactions with the power grid. Key deliverables include: A scalable,...
- 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...
- Wayne State University received a $224,999 project grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems on August 1, 2021 to support research titled "COLLABORATIVE RESEARCH: GENERATION VERSUS DEGRADATION: STRIKING THE OPTIMAL BALANCE FOR WIND FARM PROFITABILITY VIA DIGITIZATION, PREDICTIVE AND PRESCRIPTIVE ANALYTICS." The research is funded under the National Science Foundation's Engineering program (CFDA 47.041), which supports...
- This National Science Foundation (NSF) Project Grant award of $200,000 to Kansas State University, under the Mathematical and Physical Sciences program (CFDA 47.049), aims to develop and validate deep-learning-enabled distributed stochastic algorithms to solve large-scale, stochastic security-constrained unit commitment problems within power systems. The project will focus on designing a holistic, three-stage, deep neural network-based machine learning approach, developing solution strategies...
This $199,339 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to the California State University San Marcos Corp (CSUSM) will develop novel AI and machine learning models for supervisory control of wind farm connections to the electric grid for stability monitoring. The project aims to create innovative AI/ML models that can directly analyze raw power data to enable accurate fault prediction and detection, which is essential for maintaining grid stability as renewable energy sources like wind power are increasingly integrated. Additionally, the project will establish new cyberinfrastructure to provide multi-disciplinary research opportunities in AI and power systems. While the primary application is for wind farm grid stability, the AI/ML models could also have broader applications in areas like electrified transportation and healthcare monitoring. This award is part of NSF's EXPANDAI program, which supports AI education, workforce development, infrastructure, and research at minority-serving institutions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.3k | 9/18/23 |