NETL  Big Data Analysis of Synchrophasor Data
Opportunity Number:  DE-FOA-0001861
Grants.gov  https://www.grants.gov/web/grants/view-opportunity.html?oppId=309255
CFDA Number:  81.122, Electricity Delivery and Energy Reliability, Research, Development and Analysis

The goal of this funding opportunity announcement (FOA) is to explore the use of big data, artificial intelligence (AI), and machine learning technology and tools on phasor measurement units PMU data to identify and improve existing knowledge, and to discover new insights and tools for better grid operation and management.  Applicants selected for award will receive pre-packaged datasets assembled exclusively for their use executing awards resulting from this FOA.  Applicants selected for award will be asked to address specific questions and research areas regarding the data.  Applicants selected for award will publicly present their analytical results at a DOE-sponsored event to inform stakeholders in the electricity sector who develop and use analytical and decision-making tools on PMU and other power system data.

The Department of Energy (DOE), National Energy Technology Laboratory (NETL), on behalf of the Office of Electricity (OE), is seeking applications under this FOA from universities, other non-profit organizations, and industry to perform early research in support of more real-time early warning tools, operator decision support tools, and potentially phasor measurement units PMU-based automated controls to enhance the reliability and resiliency of the national’s power grid.