Project Grant 2347337

Award Date 6/1/24
Completion Date 5/31/26
Dollars Obligated $196K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Cookeville, TN 38505, USA
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This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award (CFDA 47.070) for $199,806 provides funding to the University of Tennessee at Chattanooga (UTC) to develop an interaction-aware management framework to improve the efficiency and sustainability of electric transportation and power systems. The key technical components of the project include: 1) a robust multi-agent reinforcement learning control model for power systems to...
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 $467,000 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) will support the development of an Electric Vehicle (EV) Engineering Technology program at Motlow State Community College and an EV Battery Technology certificate at Chattanooga State Community College in Tennessee. The goal of this project is to address the critical workforce shortage for EV technicians in the region, which is a leading state for automotive manufacturing and EV...
This National Science Foundation (NSF) Project Grant from the Computer and Information Science and Engineering (CFDA 47.070) program provides $300,000 over 3 years to CAL Poly Pomona Foundation Inc., a nonprofit organization supporting California State Polytechnic University, Pomona. The project aims to develop advanced artificial intelligence and machine learning algorithms for optimal management of electric vehicle transactions with the power grid. Key deliverables include: A scalable,...
This five-year, $403k Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at the University of Illinois Urbana-Champaign to advance systems science at the transportation-energy nexus. The university will develop methods for holistic management of transportation, residential, and commercial energy use to enhance environmental sustainability in urban areas. Key products and services include coupled electric vehicle and residential/office energy...
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...
This $395,896 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at Purdue University to develop the conceptual and algorithmic foundations for grid-responsive electrified transportation systems. The overarching goal is to enable monetization of the spatiotemporal flexibility in electric vehicle (EV) charging loads to provide valuable grid services, thereby accelerating the decarbonization of both transportation and...
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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)...

This Project Grant, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), provides $195,769 to Tennessee Technological University (Tennessee Tech) to develop scalable models and forecasting tools for planning and operating an electrified transportation network (ETN). The key products to be delivered include:

  1. A scalable travel motif-based electric vehicle (EV) data generation model that uses publicly available data to simulate individual EV travel patterns and system-level demands.

  2. A recurrent-graph convolutional network-based learning model for forecasting spatiotemporal EV demand to support resource planning for the ETN.

  3. A land use and land change analysis model to predict population growth and EV distribution changes, informing long-term ETN expansion strategies.

The project aims to address limitations in EV data availability that hinder accurate ETN planning, including EVCS deployment, network hotspot identification, and road expansion. The interdisciplinary research is expected to enhance scientific and technological understanding for data-driven EV operation and infrastructure planning, supporting the National Electric Vehicle Infrastructure (NEVI) program's goal of promoting net-zero transportation in the United States.

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