Big Data Analysis of Synchrophasor Data

The summary for the Big Data Analysis of Synchrophasor Data grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Energy Technology Laboratory, which is the U.S. government agency offering this grant.
Big Data Analysis of Synchrophasor Data: Explore the use of artificial intelligence (AI) tools on PMU data to identify and improve existing knowledge, and to discover new insights and tools for better grid operation and management.
Federal Grant Title: Big Data Analysis of Synchrophasor Data
Federal Agency Name: National Energy Technology Laboratory (DOE-NETL)
Grant Categories: Energy Science and Technology
Type of Opportunity: Discretionary
Funding Opportunity Number: DE-FOA-0001861
Type of Funding: Cooperative Agreement
CFDA Numbers: 81.122
CFDA Descriptions: Information not provided
Current Application Deadline: November 9th, 2018
Original Application Deadline: November 9th, 2018
Posted Date: September 25th, 2018
Creation Date: September 25th, 2018
Archive Date: February 9th, 2019
Total Program Funding: $8,000,000
Maximum Federal Grant Award: $1,000,000
Minimum Federal Grant Award: $300,000
Expected Number of Awards: 8
Cost Sharing or Matching: Yes
Last Updated: September 25th, 2018
Applicants Eligible for this Grant
Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
Link to Full Grant Announcement
FedConnect
Grant Announcement Contact
Contract Specialist MAUREEN B. DAVISON 412-386-5163
Maureen.Davison@NETL.DOE.GOV

Maureen.Davison@netl.doe.gov
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