This National Science Foundation (NSF) CAREER grant, awarded under the Engineering program (CFDA 47.041), aims to advance the autonomy of power grids by developing fundamental theory and techniques to enhance decision speed, resilience, and societal/sustainability awareness in distributed grid management models and algorithms. The $393,890 award to the University of Texas at Austin will fund research to create novel machine learning-assisted optimizers for faster agent-level decision making, use...
This National Science Foundation (NSF) CAREER award, under the Engineering program (CFDA 47.041), provides $395,226 in funding to the Texas A&M Engineering Experiment Station (Tees) for a project titled "SPATIAL COMPLEX NETWORK ANALYSIS OF BULK ELECTRIC GRIDS FOR LONG-TERM SYSTEM PLANNING." The project aims to develop innovative computational and modeling solutions to address challenges in the design and expansion of large-scale electric transmission networks with increasing...
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 $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)...
This National Science Foundation (NSF) CAREER award (CFDA 47.041, Engineering) provides $500,000 over 5 years to Arizona State University (ASU) to develop advanced energy engineering solutions that account for diverse consumer preferences and needs. The project aims to enable co-management of utility-owned and customer-owned distributed energy resources (e.g., rooftop solar) using artificial intelligence algorithms. Key innovations include characterizing end-user consumption behavior,...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Career award of $500,000 provides funding to the University of Missouri System's Missouri University of Science & Technology (Missouri S&T) from September 1, 2024 to August 31, 2029. The project aims to improve the computational efficiency of economics-driven transmission planning for electric power systems by up to three orders of magnitude. This will enable more agile power grid planning to adapt to the rapidly...
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: A scalable travel motif-based electric vehicle (EV) data generation model that uses publicly available data to simulate individual EV travel...
This National Science Foundation (NSF) Project Grant under CFDA Program 47.041 - Engineering, awarded to the University of Texas at Austin, focuses on optimizing the value of information within heterogeneous multi-agent transportation systems. The $183,313 award supports research to develop a unified modeling framework for information provisioning, considering the adaptive behavior of different traffic components and the impacts on system efficiency, reliability, and resilience. The project...
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...