Project Grant 2516668
- This $275,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program will support Community Energy Labs Inc.'s development of an advanced building management system using model predictive control and machine learning techniques. The system aims to automate complex aspects of energy-efficient building control to simplify setup and implementation for small to mid-sized commercial building owners. By reducing costs and complexity, the technology...
- The National Science Foundation awarded a $100,003 project grant under the Engineering (47.041) federal grant program to Rensselaer Polytechnic Institute for research developing advanced artificial intelligence and machine learning techniques to intelligently control passive and hybrid conditioning systems in buildings. Specifically, the grantee will create climate- and occupant-responsive control strategies leveraging natural resources like sunlight and outdoor air to condition indoor spaces....
- The National Science Foundation (NSF) awarded a $1,599,996 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Purdue University. The goal of this award is to develop a new paradigm for smart energy assistants that monitor energy use and needs in affordable housing communities, and create customized interventions to mitigate energy-related disparities experienced by low to moderate income households. The project will involve...
- 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 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 two-year Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $134,320 to North Carolina A&T State University for development of scalable and reliable deep learning-driven embedded control applied in renewable energy integration. The grant supports investigator-initiated research and education in areas of computing, communications, and...
- This $318,500 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research to develop an accelerated computation architecture for system modeling techniques and apply them to critical smart environment applications. The key objectives of this 3-year project are to: 1) design efficient computation techniques to accelerate reachability computation in state transition representations,...
- The National Science Foundation Division of Information and Intelligent Systems awarded Purdue University a $994,592 project grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research titled "CPS: MEDIUM: A META-LEARNING APPROACH TO ENABLE AUTONOMOUS BUILDINGS" from July 1, 2021 to June 30, 2024. The research aims to advance the development and use of cyberinfrastructure to accelerate discovery and innovation in computing,...
- This federal Project Grant award of $274,636 was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Rensselaer Polytechnic Institute (RPI). The project aims to develop methods to reduce energy consumption in large-scale artificial intelligence (AI) systems through an approach called "elastic algorithm-architecture co-design." Key objectives include leveraging dynamic model connectivity to minimize...
- 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...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $1,196,135 to the University of Nebraska to develop a new control framework for energy-efficient, autonomous operation of smart building systems. The research introduces a causal reinforcement learning approach that integrates structured building knowledge and occupant behavior models to improve control performance and reduce energy use, while maintaining occupant comfort. The project also includes education and outreach efforts to engage K-12 teachers and undergraduate students in smart building technologies and cyber-physical systems. The 3-year project will run from October 2025 through September 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.2m | 8/14/25 |