TVA · no agency ID · record R1103

GET

Tennessee Valley Authority · Generation Projects & Fleet Strategy

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Overview

Development stage: Status not reported
High-impact designation: Not reported
Impact justification: Not reported
Start date: Not reported
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

Not reported

Expected benefits

Groundwater evaluation Tool - The GET Tool is designed to provide statistical analysis of groundwater monitoring data required under State regulatory programs and the federal Coal Combustion Residuals (CCR) rule. It uses state-of-the-art statistical and predictive methods to evaluate geochemical and geotechnical data under three phases of groundwater monitoring: Detection, Assessment, and Corrective Action. In “Detection”, background data is used to construct prediction limits for use in identifying statistically significant changes from background levels. In “Assessment” and “Corrective Action”, compliance data is used to compute confidence intervals and confidence bands to assess violations of groundwater protection standards (GWPS) to inform of corrective action needs.

System outputs

Not reported

Technology

AI classification: Not reported
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
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