Closed · DE-FOA-0003128 · CFDA 81.122 · Discretionary
NOI: Enhancing the Electric Power Systems’ Reliability and Resilience via Sensor Data Analytics Demonstrations
Federal grant opportunity posted by National Energy Technology Laboratory, cataloged on Grants.gov.
- $1-$2
- Award range
- Closed
- Status
- November 30, 2023
- Close date
- -
- Expected awards
The verdict
NOI: Enhancing the Electric Power Systems’ Reliability and Resilience via Sensor Data Analytics Demonstrations is a closed discretionary listing from National Energy Technology Laboratory that offered $1 -- $2. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 530 other opportunities from National Energy Technology Laboratory.
- $1-$2
- award range
- Closed
- application status
- 81.122
- CFDA program
- 530
- other opportunities from National Energy Technology Laboratory
Archived opportunity record
NOI: Enhancing the Electric Power Systems’ Re… is closed (last close November 30, 2023). The parent program page for CFDA 81.122 is the reliable place to catch re-announcements. National Energy Technology Laboratory still indexes 530 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed November 30, 2023
Instrument
Cooperative Agreement
Cost Sharing
Required
Description
This is a Notice of Intent to Issue Funding Opportunity Announcement No. DE-FOA-0003128; titled Enhancing the Electric Power Systems’ Reliability and Resilience via Sensor Data Analytics Demonstrations; The objective of this potential FOA is to enhance grid reliability and resilience in the age of big data. The electric power industry is witnessing an explosive growth in the volume and velocity of utility data. Specifically, the tsunami of data generated by the Advanced Metering Infrastructure (AMI) as well as sensors with fast-streaming data sets (e.g., phasor measurement units) have been challenging the traditional methods of data acquisition, use, and storage in utilities; will be a cooperative agreement; and support various Office of Electricity (OE).
Catch-all / unrestricted eligibility mark · DE-FOA-0003128
Grants.gov marks NOI: Enhancing the Electric Power Systems’ Re… with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. Applicant cost-sharing is required on the Grants.gov extract. Instrument: Cooperative Agreement. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the National Energy Technology Laboratory book (410 peers, 77% of 531).
- Code 99
- Unrestricted / see official listing
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Transportation Technologies R&D
U.S. Department of Energy
Agency Contact
Michelle Leaton Grantor FOA3127@netl.doe.gov
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What to do next
NOI: Enhancing the Electric Power Systems’ Re… is closed; use the parent program and agency catalog for the next funding cycle.
- Parent CFDA 81.122 may publish future NOFOs under the same assistance listing. Open program
- Transportation Technologies R&D indexes 0 Grants.gov listings in this extract. Program profile
- National Energy Technology Laboratory lists 530 other indexed opportunities on PlainGrants. Agency catalog
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |