Cooperative Agreement DEFE0031753

This $1,430,102 Cooperative Agreement award from the U.S. Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (CFDA 81.122 Electricity Research, Development and Analysis) aims to develop and demonstrate advanced data analytics for improved grid monitoring, operation, and control. The project will leverage Advanced Metering Infrastructure (AMI) data, Supervisory Control and Data Acquisition (SCADA) data, and next-generation grid-edge computing metering to maximize...

The National Science Foundation (NSF) awarded a $150,000 Early-Concept Grants for Exploratory Research (EAGER) grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to Georgia Tech Research Corporation. The funding aims to translate the AI4OPT Institute's foundational advances in AI-enabled optimization methods for power grid operations into a commercially-viable AI-assisted platform. In collaboration with Southern Company, the project...

This Cooperative Agreement, awarded by the U.S. Department of Energy's Office of Fossil Energy and Carbon Management under the Fossil Energy Research and Development program (CFDA 81.089), aims to demonstrate the feasibility of integrating Laser-Induced Breakdown Spectroscopy (LIBS) with Machine Learning (ML) to provide real-time information on the characteristics of feedstock streams for hydrogen-producing gasifiers. The $3,692,531 project, awarded to Lehigh University, focuses on six key...

This Cooperative Agreement award from the Department of Energy's Office of Electricity Delivery and Energy Reliability (CFDA 81.122 Electricity Research, Development and Analysis) provides $1,400,000.00 to New York University (NYU) to develop, test, and field-demonstrate a comprehensive tool suite for making the secondary electric power distribution system visible to system operators and planners. The goal is to leverage synergistic data analytics based on advanced metering infrastructure...

The U.S. Department of Energy's Office of Fossil Energy and Carbon Management awarded a $874,964 Cooperative Agreement to the Electric Power Research Institute (EPRI) to develop an innovative digital twin framework and surrogate model for a hydrogen-blend combined cycle gas turbine with post-combustion carbon capture. This project under the Fossil Energy Research and Development (CFDA 81.089) program aims to enhance operational efficiency, optimize flexible operations, and support the transition...

This $1,471,283 Cooperative Agreement award from the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability (CFDA 81.122 - Electricity Research, Development and Analysis) supports the Regents of the University of California at Riverside in enhancing power system reliability and resilience through machine learning-based analytics of synchrophasor and advanced metering infrastructure data. The primary goals are to improve sensor data quality, enhance event detection...

This Cooperative Agreement award from the Department of Energy's Office of Cybersecurity, Energy Security, and Emergency Response (CESER) program (CFDA 81.008) provides $5,583,698.00 to the Electric Power Research Institute Inc. (EPRI) to develop an integrated, automated system to identify third-party and potential zero-day vulnerabilities, verify their exploitability dynamically, and create a feedback loop for rapid enhancement of static analysis capabilities. The objectives of this 3-year...

This $282,983 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop an advanced artificial intelligence (AI) framework to transform how individuals and communities participate in electricity exchange within transactive energy systems. The key products and services to be delivered include: Development of an AI-driven framework that models aggregators, learns optimal bidding and trading strategies for market participants, and adapts to...

This $349,969 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of advanced algorithms and data analysis methods to enhance the monitoring, control, and overall performance of modern power distribution systems. Specifically, the project aims to integrate and analyze heterogeneous data from power grid infrastructure, such as advanced metering, supervisory control, and micro-phasor measurement systems,...

This $275,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program will support Community Energy Labs Inc.'s development of an advanced building management system using model predictive control and machine learning techniques. The system aims to automate complex aspects of energy-efficient building control to simplify setup and implementation for small to mid-sized commercial building owners. By reducing costs and complexity, the technology...