Project Grant 2516306
- The National Science Foundation's (NSF) Engineering program (CFDA 47.041) awarded a $282,983 Project Grant to Southern Methodist University (SMU) to develop an advanced artificial intelligence (AI) framework for modeling and optimizing the participation of individuals, communities, and aggregators in transactive energy systems. The project aims to transform how consumers and producers (prosumers) engage in peer-to-peer electricity trading as distributed energy resources become more prevalent....
- This National Science Foundation project grant of $300,000 supports research at the University of Tulsa to develop a decentralized artificial intelligence framework for distribution system fault detection, identification, and power restoration. Under the NSF Engineering program (CFDA 47.041), the university will create a graph capsule network to recognize spatial and temporal patterns in distribution systems and identify fault types and locations. Researchers will also devise a novel...
- The University of Tennessee received a three-year, $350,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) to develop artificial intelligence-assisted algorithms for automatic electric power grid modeling. The university will create models of realistic U.S. electric grids under various operating scenarios involving conventional and renewable energy sources. This will help identify and mitigate risks to electric grids by significantly reducing model...
- This is a $500,000 National Science Foundation (NSF) CAREER project grant awarded to the University of Texas at Austin on March 1, 2025. The project aims to advance the autonomy of power grids by developing fundamental theory to enhance decision speed, resilience, and societal/sustainability awareness of distributed grid management models and algorithms. Key technical approaches include developing novel machine learning-assisted optimizers, using AI and generative modeling to improve resilience,...
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Austin a $250,000 Project Grant under the NSF Engineering program (CFDA 47.041) to develop novel learning-based approaches for estimating the flexibility amount of grid edge resources (GERs) and designing equitable resource coordination and management methods. The project aims to transform the management of flexible energy resources in distribution electricity...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $500,000 to assess the potential for implementing transactive energy services in rural New Hampshire communities. The project aims to study the technical and social factors that influence rural residents' willingness to participate in such energy-sharing, real-time pricing markets. It will examine the features and factors required to develop a socially...
- The National Science Foundation awarded a $225,000 Project Grant under the Engineering (47.041) federal grant program to the University of Colorado from July 1, 2023 to June 30, 2026. The University will develop a physics-informed real-time optimal power flow model using machine learning techniques to provide close to optimal solutions for power plant outputs while considering dynamic constraints to avoid grid instabilities. Key activities include advancing techniques combining...
- This EAGER: Transition to Practice federal Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to translate foundational AI research advances into a practical AI-assisted platform for power system planning and operations. The $150,000 grant, awarded to the Georgia Tech Research Corporation from August 2025 to July 2026, seeks to integrate innovations in optimization learning, forecasting, and...
- 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 $104,166 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop and evaluate a bio-inspired cyber-physical system for coordinating distributed energy resources, such as electric vehicles, heat pumps, and battery storage, at the distribution level of the electric grid. Inspired by the decentralized coordination mechanisms observed in honeybee colonies, the project will translate principles of "trophallaxis" (energy/food...
The National Science Foundation awarded a $289,824 Project Grant under the Engineering (CFDA 47.041) program to the University of Tulsa for the "COLLABORATIVE RESEARCH: UTILITARIANS: MULTI-AGENT CONTEXT-AWARE HUMAN-IN-THE-LOOP STRATEGIES FOR MARKET PARTICIPANTS IN TRANSACTIVE ENERGY SYSTEMS" project. The project aims to develop an AI-driven framework that models aggregators and determines optimal bidding and trading strategies for participants in decentralized, peer-to-peer energy trading systems. Key objectives include deploying domain adaptation techniques to transfer knowledge between simulated and real-world environments, as well as incorporating explainable deep reinforcement learning to enable human experts to validate and refine the AI-driven decisions. The project is expected to run from October 1, 2025 to September 30, 2028 and will be executed solely by the University of Tulsa.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $289.8k | 8/28/25 |