This department is seeking input on utilizing machine learning in geosciences relevant to geothermal energy. The goals include establishing ML in the geothermal industry, maximizing the value of datasets, and exploring partnership opportunities with other industries. Feedback from various sectors is encouraged to advance geothermal development. This Request for Information (RFI) aims to gather insights before a potential Funding Opportunity Announcement (FOA) is issued. Submissions are accepted via email as attachments in Word format until June 6, 2018. More details are available on the EERE Exchange website.
Opportunity ID: 304786
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0001920 |
| Funding Opportunity Title: | Request for Information (RFI)- Machine Learning for Geothermal Energy and the Geosciences |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Other |
| Category of Funding Activity: | Energy |
| Category Explanation: | – |
| Expected Number of Awards: | 1 |
| Assistance Listings: | 81.087 — Renewable Energy Research and Development |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | May 07, 2018 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | Jun 06, 2018 All responses to this RFI must be provided as an attachment (in Microsoft Word format) to an e-mail message addressed to machinelearninggeo@ee.doe.gov. |
| Current Closing Date for Applications: | Jun 06, 2018 All responses to this RFI must be provided as an attachment (in Microsoft Word format) to an e-mail message addressed to machinelearninggeo@ee.doe.gov. |
| Archive Date: | Aug 07, 2018 |
| Estimated Total Program Funding: | $1 |
| Award Ceiling: | $2 |
| Award Floor: | $1 |
Eligibility
| 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: |
Additional Information
| Agency Name: | Golden Field Office |
| Description: | Department of Energy’s (DOE) Office of Energy Efficiency and Renewable Energy (EERE), invites input from the public regarding opportunities associated with applying machine learning techniques toward challenges in the geosciences that are relevant to geothermal energy. With the overall goals of establishing the practice of machine learning (ML) in the geothermal industry and maximizing the value of the rich datasets utilized in the geosciences, GTO is seeking input in three areas: Identifying the most promising applications of machine learning in subsurface R&D, building open community datasets capable of supporting the most advanced ML techniques, and leveraging crowd-sourced R&D through alternative funding mechanisms. As ML is already well- established in some industries, GTO is also very interested in feedback from outside of the geothermal community. The information requested is intended to advance GTO goals in geothermal development, though there are likely crosscutting applications with other industries operating in the subsurface. Opportunities for partnerships with other industries are also of interest. The purpose of this Request for Information (RFI) is to gather feedback from stakeholders prior to DOE potentially issuing a Funding Opportunity Announcement (FOA). This RFI is not a FOA: therefore, DOE is not accepting |
| Link to Additional Information: | https://eere-exchange.energy.gov |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Michael J. Weathers
machinelearninggeo@ee.doe.gov Email:machinelearninggeo@ee.doe.gov |
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