Project Grant 2516307
- 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...
- 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 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,...
- 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 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 $500,000 National Science Foundation (NSF) CAREER award, under the Engineering program (CFDA 47.041), aims to improve the computational efficiency of economics-driven transmission planning for electric power systems by up to three orders of magnitude. The project, awarded to the University of Missouri System's Missouri University of Science & Technology, will develop a multi-faceted framework that integrates innovations in modeling, simulation, computing, and design to transform lengthy...
- This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program grant, under CFDA 47.041 Engineering, aims to develop energy engineering solutions that incorporate the preferences and needs of diverse residential electricity consumers. The $500,000 award to Arizona State University, received on Aug 1, 2024, will fund research to enable the co-management of utility-owned and customer-owned distributed energy assets using artificial intelligence algorithms. The project...
- 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) Project Grant award, under CFDA 47.041 Engineering, aims to engage undergraduate students in transformative research experiences focused on smart cities, with an emphasis on smart power and energy systems. The $391,371 award, effective from October 1, 2025 to September 30, 2028, will be administered by the University of Denver. The project addresses national priorities in energy security, infrastructure resilience, and workforce development by preparing...
- This $350,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a new reduced-order dynamic modeling paradigm for accurately representing the impacts of massive distributed energy resource (DER) integration in carbon-neutral power systems. The project, awarded to Arizona State University, will leverage tools in dynamic systems, nonlinear system identification, and machine learning to create physics-based and machine...
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. The key products to be delivered include: (1) an AI-driven framework that learns optimal bidding and trading strategies for market participants and adapts to evolving system conditions; (2) domain adaptation techniques to efficiently transfer knowledge between simulated and real-world environments; and (3) explainable deep reinforcement learning mechanisms to provide transparency and enable human expert validation. The award period is from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $283.0k | 8/28/25 |