| Funding Opportunity ID: |
309255 |
| Opportunity Number: |
DE-FOA-0001861 |
| Opportunity Title: |
Big Data Analysis of Synchrophasor Data |
| Opportunity Category: |
Discretionary |
| Opportunity Category Explanation: |
|
| Funding Instrument Type: |
Cooperative Agreement |
| Category of Funding Activity: |
Energy
Science and Technology and other Research and Development |
| Category Explanation: |
|
| CFDA Number(s): |
81.122 |
| Eligible Applicants: |
Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility" |
| Additional Information on Eligibility: |
|
| Agency Code: |
DOE-NETL |
| Agency Name: |
Department of Energy
National Energy Technology Laboratory |
| Posted Date: |
Sep 25, 2018 |
| Close Date: |
Nov 09, 2018 |
| Last Updated Date: |
Sep 25, 2018 |
| Award Ceiling: |
$1,000,000 |
| Award Floor: |
$300,000 |
| Estimated Total Program Funding: |
$8,000,000 |
| Expected Number of Awards: |
8 |
| Description: |
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. |
| Version: |
1 |
|
Published at: September 25, 2018 at 05:15PM
View on Grants.gov
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