DOI · DOI-0046 · record R2703
Piloting Machine Learning Inflow Forecasts Across Reclamation [2024 INV#DOI-58]
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
- 2025-09-17 (day precision)Source: 9/17/2025
- 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 streamflow forecasts to inform reservoir operations.
Expected benefits
More skillful forecasts enable improved reservoir operations, yielding benefits such as more hydropower generation, increased water deliveries, and more effective flood risk management.
System outputs
Reservoir operators have access to machine-learning based streamflow forecasts that were shown to be more skillful than other available models and forecast products.
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
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Upstream Tech
- 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
- Streamflow forecasts
- Federal Data Catalog
- www.upstream.tech ↗
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