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 Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports collaborative research to study the placement of electric vehicle (EV) charging stations and their broader impacts on community mobility, business resilience, and social equity. The $150,271 award to Northeastern University aims to develop an optimization and visualization platform to help policymakers and businesses evaluate EV charging station...
This $149,786 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into the placement of electric vehicle (EV) charging stations and their broader social and economic impacts. The project integrates computational social science, urban resilience, behavioral science, and complex systems modeling to optimize the deployment of EV charging infrastructure in a way that boosts the economic...
This $175,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a real-time framework for integrating electric vehicles with microgrids. The University of Florida will receive the funding to design an innovative machine learning algorithm for short-term load forecasting in microgrids, develop a cooperative game theory model to...
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 $549,999 National Science Foundation award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research from September 2022 through August 2025 to develop an energy justice framework and assessment tools for evaluating the impacts of electric vehicle deployment on electricity infrastructure and consumers. George Mason University is the primary awardee and will collaborate with Syracuse University on specific tasks. The project team will design metrics and...
This $449,943 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project titled "Planning for Electric Vehicle Charging Infrastructure - Strengthening American Infrastructure (SAI)." The project, led by New York University (NYU), aims to understand the broader social and economic impacts of electric vehicle charging station (EVCS) placement on community mobility, social...
This federal Project Grant award of $482,970.00 was provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The project, titled "SAI: LARGE-SCALE PLANNING FOR ELECTRIC VEHICLE PUBLIC CHARGING INFRASTRUCTURE," aims to develop a human-centered planning framework for public electric vehicle (EV) charging stations. The research will integrate human cognitive processes and social impacts into engineering models to ensure...
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...
The University of Chicago was awarded a $600,000 project grant from the National Science Foundation Division of Social and Economic Science on September 1, 2021 to complete the project by August 31, 2024. The grant is part of NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which aims to promote basic research and education in these fields as well as monitor science resources. Under this award, the University will conduct research on the economics of electric vehicles...
The National Science Foundation (NSF) awarded a $750,000 Project Grant to the University of Colorado-Denver under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. This 3-year research project explores how electric vehicles (EVs) can be integrated with the electric grid to address power outages, reduce energy costs, and create a more sustainable energy system. The award supports four research thrusts: 1) developing pricing mechanisms and institutional arrangements to promote user-friendly vehicle-grid integration (VGI) services; 2) performing power flow studies and designing an optimal EV charging/discharging system; 3) examining socioeconomic disparities in VGI participation and consumer willingness; and 4) creating a predictive machine learning model of VGI adoption and usage patterns. The University of Colorado is collaborating with Gettysburg College as a sub-awardee on this project.