Project Grant 2225341
Award Date
7/1/22
Completion Date
6/30/24
Dollars Obligated
$220K
Federal Agency
Division of Electrical, Communications and Cyber Systems
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Manhattan, KS 66506, USA
Similar Awards
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Iowa State University a $500,714 Project Grant under the Engineering (47.041) federal grant program. The grant will support research from February 2021 through January 2026 to learn smart meter data to enhance distribution grid modeling and observability. Through this funding, Iowa State University researchers will analyze smart meter data to improve modeling of the electrical distribution system and...
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...
The National Science Foundation (NSF) awarded a $484,965 project grant under the Engineering (CFDA 47.041) program to New York University (NYU) to develop transformative concepts and methodologies to enhance situational awareness of electric power distribution systems. The project aims to address challenges in integrating distributed renewable energy generation by enabling real-time tracking of distribution system operating states. Key objectives include learning-based continuous-time system...
This $330,000 National Science Foundation project grant supports research at Purdue University from November 2022 through July 2025 to develop analytics and a prototype system for adaptive, human-centric coordination of demand-side flexibility at scale in electric power distribution networks. The goal is to enable actionable demand-side flexibility through adequate representation of consumer constraints and interactions with the energy system and provider. Researchers will develop learning...
Arizona State University was awarded a three-year $360,000 project grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering (47.041) federal grant program. The grant aims to improve situational awareness of distributed energy resources throughout the electric power system by leveraging advanced sensors and data science methods. Specifically, the university will develop new algorithms to extract useful information from high-fidelity...
This $600,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to integrate federated learning with power systems to better predict electricity consumption and lower the cost of electricity generation. The project will develop machine learning methods, specifically recurrent neural networks, to forecast day-ahead electricity consumption using distributed data from smart meters while preserving consumer privacy. Key scientific...
This National Science Foundation project grant of $333,289 will support research from August 2022 to July 2025 related to adaptive, human-centric coordination of demand-side flexibility at scale in electric power distribution networks. Funded under the Engineering program (CFDA 47.041), the award to Washington State University will enable the development of analytics and a prototype system to efficiently leverage flexible demand commitments from multiple small consumers in uncertain electric...
This $1,430,102 Cooperative Agreement, awarded by the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability under the Electricity Research, Development and Analysis (CFDA 81.122) program, aims to develop and demonstrate advanced data analytics for improved grid monitoring, operation, and control. The project will utilize data from Advanced Metering Infrastructure (AMI), Supervisory Control and Data Acquisition (SCADA) systems, and next-generation grid-edge computing...
This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $203,751 to Kennesaw State University Research And Service Foundation, Inc. for research activities related to developing a holistic quantum-inspired framework for power system state estimation. Specifically, the awardee will conduct four main research activities: 1) designing a quantum network architecture for key...
This $150,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems supports building smart communities to advance solar energy in rural America. Funded under the NSF Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength through engineering research and education, Kansas State University will deliver services and products to advance the use of solar energy in rural communities. Starting September 1,...