FERC · FERC-0004 · record R2060
Support Interconnection Request Responses Use Case
Federal Energy Regulatory Commission · FERC
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- This use case is in pre-deployment and initial analysis determines that it will not make decisions or take actions that directly affect individual rights, benefits, or services. Reassessment will be conducted upon development.
- Start date
- Not reported
- Withheld from public reporting
- OtherSource: d) Other
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
The AI solution will be designed to address the growing backlog of project interconnection requests and reduce the average three-year wait time. By accelerating the processing of proposals, the AI will help FERC with cost savings and shorting the timelines of requests.
Expected benefits
Not reported
System outputs
Not reported
Technology
- AI classification
- Other
- System name(s)
- Not reported
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Zvolvant (Small Business)
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- We have not started work on this use case and have not identified specific data sets needed to support all interconnection requests.
- Federal Data Catalog
- Not reported
Governance
3 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 assessmentReported in placeSource: a) Yes
Independent reviewReported in placeSource: c) Yes – by the CAIO
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNot applicableSource: b) Not applicable
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported