DOI · DOI-0047 · record R2702
Seasonal Water Supply Forecasting: Pyforecast [2024 INV#DOI-69]
Department of the Interior · BOR
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2021-01-01 (day precision)Source: 1/1/2021
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Energy and the Environment
- Operational functions
- Forecasting and prediction Derived by keyword rules; see methodology
Problem the AI is intended to solve
Reclamation utilizes water supply forecasts (cumulative expected inflow over multiple months) to inform reservoir operations and water allocation decisions.
Expected benefits
More skillful forecasts and internal forecasting tools support improved reservoir operations.
System outputs
Pyforecast tool is available to Reclamation reservoir operators, allowing them to produce in-house forecasts between forecasts issued by other agencies and to explore forecast sensitivity to different scenarios.
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Not reported
- Custom-developed code
- No
- Public source code
- github.com ↗
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- Vendor (as reported)
- Not reported
- 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
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- Uses a variety of public data
- 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