Project Grant 2630209
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Massachusetts Institute of Technology $350,000 on August 15, 2026, for collaborative research on wide-area control architectures for electric power systems serving large electronic loads including AI data centers, crypto mining centers, and high-performance computing facilities. The project develops optimal control algorithms, termed FRELCO (fast, resilient, load-aware, and cost-optimal), to dampen...
- This Project Grant award of $150,000 from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports the development of advanced artificial intelligence and machine learning algorithms to optimize the management of electric vehicle transactions with the power grid. The key products and services to be delivered under this award include: A hierarchical forecasting framework using cellular computational...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Texas A&M Engineering Experiment Station five hundred thousand dollars on April 15, 2026, under the Engineering program (CFDA 47.041) to develop AI-enabled autonomous coordination of ultra-large-scale converter-based distributed energy resources in power networks. The project focuses on advancing safe, stable, and economically optimal operation of integrated transmission-distribution power...
- 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, 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...
- Federal Grant Award Summary Award Details: Georgia Tech Research Corporation received $149,839 in funding under an EAGER (Early-Concept Grant for Exploratory Research) Project Grant from the National Science Foundation's Engineering program (CFDA 47.041), Division of Civil, Mechanical, and Manufacturing Innovation. The award period runs from August 1, 2025, through July 31, 2026. Products and Services: This project translates artificial intelligence research from the National AI Institute for...
- 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 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...
- Georgia Tech Research Corporation was awarded a $399,495 project grant by the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund collaborative research between U.S. and Australian researchers to develop responsible artificial intelligence frameworks, techniques, and algorithms for enabling an equitable Internet of Energy. Specifically, the researchers...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Southern California $300,000 on August 15, 2026, under the Engineering program (CFDA 47.041) to design network infrastructures for reliable wide-area control of power systems serving large electronic loads such as AI data centers, crypto mining centers, and high-performance computing centers. The award funds development of FRELCO (Fast, Resilient, Load-Aware, Cost-Optimal) grid...
I-CORPS: TRANSLATION POTENTIAL OF AN ARTIFICIAL INTELLIGENCE (AI)-DRIVEN CONTROL PLATFORM FOR LOCALIZED, INTELLIGENT POWER SYSTEMS -THIS I-CORPS PROJECT IS BASED ON THE DEVELOPMENT OF A CONTROL PLATFORM FOR LOCALIZED, INTELLIGENT POWER SYSTEMS. CURRENTLY, MANY LOCALIZED, INTELLIGENT POWER SYSTEMS, CALLED MICROGRIDS, RELY ON CONVENTIONAL SUPERVISORY CONTROL METHODS THAT MAKE OPERATIONAL DECISIONS USING STATIC RULES AND LIMITED SYSTEM AWARENESS. THIS RESULTS IN UNDERUTILIZED RESOURCES, INEFFICIENT BATTERY UTILIZATION, UNNECESSARY USE OF FUEL-POWERED GENERATORS, INCREASED OPERATING COSTS, AND REDUCED OVERALL SYSTEM PERFORMANCE. THIS TECHNOLOGY PROVIDES AN INTELLIGENT SOFTWARE PLATFORM THAT CONTINUOUSLY EVALUATES SYSTEM CONDITIONS AND SUPPORTS ADAPTIVE OPERATIONAL DECISION-MAKING TO IMPROVE OVERALL MANAGEMENT. DESIGNED TO COMPLEMENT EXISTING AND FUTURE MICROGRID INSTALLATIONS WITHOUT REQUIRING MAJOR HARDWARE MODIFICATIONS, THE TECHNOLOGY HAS BROAD POTENTIAL ACROSS MULTIPLE APPLICATIONS. THIS MAY IMPROVE ENERGY UTILIZATION, REDUCE OPERATING COSTS, ENHANCE ENERGY RESILIENCE, AND STRENGTHEN RELIABILITY. THIS I-CORPS PROJECT UTILIZES EXPERIENTIAL LEARNING COUPLED WITH FIRST-HAND INVESTIGATION OF THE INDUSTRY ECOSYSTEM TO ASSESS THE TRANSLATION POTENTIAL OF AN INTELLIGENT CONTROL PLATFORM FOR ENERGY MICROGRIDS. THIS TECHNOLOGY INTEGRATES DATA-DRIVEN SYSTEM MODELING, PREDICTIVE OPERATIONAL ANALYTICS, INTELLIGENT SUPERVISORY CONTROL ALGORITHMS, AND DATA-DRIVEN DECISION SUPPORT TO IMPROVE COORDINATION AMONG ENERGY RESOURCES, BATTERY ENERGY STORAGE SYSTEMS, BACKUP GENERATION ASSETS, AND ELECTRICAL LOADS. UNLIKE CONVENTIONAL RULE-BASED SUPERVISORY CONTROLLERS THAT PRIMARILY RESPOND TO CURRENT OPERATING CONDITIONS, THE PROPOSED APPROACH INCORPORATES PREDICTIVE SYSTEM AWARENESS TO EVALUATE DYNAMIC OPERATING SCENARIOS AND RECOMMEND MORE EFFICIENT OPERATIONAL STRATEGIES THAT IMPROVE OVERALL SYSTEM PERFORMANCE. PRELIMINARY RESEARCH HAS ESTABLISHED THE SYSTEM ARCHITECTURE, SUPERVISORY CONTROL FRAMEWORK, OPERATIONAL WORKFLOWS, AND INITIAL SIMULATION-BASED FEASIBILITY NECESSARY TO DEMONSTRATE THE TECHNICAL VIABILITY OF THE PROPOSED APPROACH. THIS TECHNOLOGY MAY PROVIDE A SCALABLE, INTELLIGENT ENERGY MANAGEMENT PLATFORM CAPABLE OF IMPROVING THE PERFORMANCE, EFFICIENCY, AND ECONOMIC VALUE OF ENERGY MICROGRIDS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $50.0k | 7/30/26 |