DOE · DOE-537 · record R3394
WETO SA
Department of Energy · NREL - National Renewable Energy Laboratory (EE)
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not intended to produce outputs that are used as principal basis for decisions or actions that have a legal, material, binding, or significant effect on rights or safety
- Start date
- 2024-10-01 (day precision)Source: 2024-10-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Energy and the Environment
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Assess the developable quantity and quality of the renewable resources.
Expected benefits
It seeks to better understand the uncertainty and impact of siting considerations and to understand when and where wind technological innovation may help to overcome potential land barriers.
System outputs
Robust surrogate models to deliver meaningful insights across a broad set of technology innovations and site characteristics while overcoming computational challenges
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- NREL Azure System, NREL Stratus System
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- Vendor (as reported)
- Azure, OpenAI
- Vendors (standardized)
- MicrosoftOpenAI
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported