Closed · DE-FOA-0002284 · CFDA 81.087 · Discretionary
Request for Information: Prediction of Solar Variability for Better Grid Integration
Federal grant opportunity posted by Golden Field Office, cataloged on Grants.gov.
- $1-$1
- Award range
- Closed
- Status
- February 29, 2020
- Close date
- -
- Expected awards
The verdict
Request for Information: Prediction of Solar Variability for Better Grid Integration is a closed discretionary listing from Golden Field Office that offered $1 -- $1. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 839 other opportunities from Golden Field Office.
- $1-$1
- award range
- Closed
- application status
- 81.087
- CFDA program
- 839
- other opportunities from Golden Field Office
Archived opportunity record
Request for Information: Prediction of Solar… is closed (last close February 29, 2020). Check the agency catalog for replacement NOFOs. Golden Field Office still indexes 839 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 February 29, 2020
Est. Total Funding
$1
Instrument
Cooperative Agreement
Description
The U.S. Department of Energy Solar Energy Technologies Office (SETO) is issuing this request for information (RFI) to solicit feedback from industry, academia, research laboratories, government agencies, and other stakeholders. This RFI will inform SETO’s strategic planning on research related to the integration of solar energy resources. Specifically, this RFI will inform SETO’s strategies relating to prediction of (a) solar irradiance reaching the surface of the earth, and (b) power output from solar generation plants, using either photovoltaic (PV) or concentrating solar power (CSP) technologies. Improving solar generation prediction will better inform grid operators as they consider the impacts of solar power variability on grid planning and operations technologies, as well as the owners and operators of utility-scale plants and aggregators of distributed PV systems.
Catch-all / unrestricted eligibility mark · DE-FOA-0002284
Grants.gov marks Request for Information: Prediction of Solar… 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. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Energy (EN). This eligibility-code string dominates the Golden Field Office book (634 peers, 75% of 840).
- 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.
Agency Contact
Elizabeth Parrish SETO.RFI.SI@ee.doe.gov
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What to do next
Request for Information: Prediction of Solar… is closed; use the parent program and agency catalog for the next funding cycle.
- Browse open federal opportunities in the same category when this listing is closed. Open opportunities
- Look up CFDA 81.087 across all indexed listings before you commit to this opportunity alone. Eligibility finder
- Compare award ranges across federal categories before you pick a single CFDA. All categories
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 |