Project Grant 2426097
- This federal Project Grant award of $299,961 was provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to North Carolina State University (NC State) for the period of October 1, 2025 to September 30, 2027. The objective of this EAGER (Early-concept Grants for Exploratory Research) project is to develop model-driven and data-driven optimization and control algorithms to effectively manage the charging of electric vehicles (EVs) on a large scale. This is intended to...
- 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 $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...
- 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...
- This $199,933 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop an interaction-aware management framework to improve the efficiency and sustainability of electric vehicle (EV) transportation systems and power grids. The key components of the project include: A multi-agent reinforcement learning control model for power systems to dynamically adjust electricity prices and...
- This federal Project Grant award, with a total funding amount of $199,999, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CFDA 47.070) program. The award supports the development of an "Interaction-Aware Management Framework to Improve the Efficiency and Sustainability of Electric Transportation and Power Systems." The key products and services to be delivered through this 3-year project (01/01/2025 - 12/31/2027)...
- The National Science Foundation awarded a $300,093 project grant to the University of Maryland, College Park through the Engineering program (CFDA 47.041) to support research from September 1, 2021 to August 31, 2024. The grant funds collaborative research to empirically assess heterogeneous changes in electricity consumption behaviors resulting from co-adopting batteries, electric vehicles, and solar panels. The Engineering program aims to improve quality of life and economic strength through...
- This National Science Foundation (NSF) project grant under the Engineering program (CFDA 47.041) aims to develop and evaluate a bio-inspired cyber-physical system for the efficient and resilient control of distributed energy resources at the distribution level of the electric grid. The $104,166 award, effective from October 1, 2025 to September 30, 2028, will be implemented by the University of Vermont & State Agricultural College. The project seeks to translate the decentralized...
- This National Science Foundation (NSF) Project Grant awarded under the Mathematical and Physical Sciences program (CFDA 47.049) provides $350,000 to the University of California, Santa Barbara (UCSB) for a 3-year project to develop new tools and frameworks for optimizing the operation and benefits of battery energy storage systems (BESS) in modern power grids. The project will create stochastic modeling approaches to address short-term BESS operations, BESS bidding strategies for ancillary...
- 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 $350,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at North Carolina State University (NC State) to develop a unified optimization design framework for human-energy storage system (ESS) interactions. The overarching goal is to create a synergistic framework that optimizes system-level performance and affordability of ESS-powered applications by accounting for dynamic user behaviors. Key research objectives include: This award seeks to bridge the gap between user behaviors and the engineering design process, ultimately introducing a new modeling paradigm that comprehensively accounts for human-induced dynamics in ESS-powered applications. The project will run from Sep 1, 2025 to Aug 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 9/8/25 |