DOE · DOE-487 · record R3350
LLM EV
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
Large-scale policy analysis to understand permitting barriers to the deployment of electric vehicle charging infrastructure
Expected benefits
Making NREL EV-specific data more accessible for researchers and accelerating research in this field.
System outputs
Outputs analysis results from these studies: https://www.sciencedirect.com/science/article/pii/S2666546824000971
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 Stratus AWS Compute Environment, NREL Azure System
- Custom-developed code
- Yes
- Public source code
- TBD
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
- TBD
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