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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
AI use-case explorer

AI use cases

Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.

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AI type: Classical / predictive MLTopic: Energy and the Environment
Columns (7)
Use caseAgencyStageHigh-impactTopic areaAI classificationSourcing
Ecosystem Management Decision Support System (EMDS)
USDA-014 · Natural Resources and Environment
USDADeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLContract and in-house
Rangeland Analysis Platform
USDA-046 · Research, Education and Economics; Farm Production and Conse
USDADeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLContract and in-house
BirdNET to detect bird vocalizations for research and species monitoring
USDA-080 · Natural Resources and Environment
USDADeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
AI for regional forest mapping and monitoring
USDA-089 · Natural Resources and Environment
USDADeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLContract and in-house
Using machine learning methods to analyze drivers of water quality
77 · AO
EPADeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Classifying CWD-Infected Elk Using Recurrent Neural Networks on GPS Movement Data
DOI-0135 · USGS
DOIDeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Machine Learning for geophysical data inversion
DOE-195 · NETL - National Energy Technology Laboratory (FECM)
DOEDeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Regional waste feedstock conversion to biofuels
DOE-358 · PNNL - Pacific Northwest National Laboratory (SC43 OIM)
DOEDeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Georeference Figures
DOE-645 · LM HQ - Office of Legacy Management (LM)
DOEDeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLPurchased from vendor
Groundwater Modeling
DOE-659 · LM HQ - Office of Legacy Management (LM)
DOEDeployedNot high-impactEnergy and the EnvironmentClassical / predictive MLPurchased from vendor
Predicting fire severity potential in future wildfires in California
USDA-151 · Natural Resources and Environment
USDAPilotNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Washington state forest inventory maps
USDA-158 · Natural Resources and Environment
USDAPilotNot high-impactEnergy and the EnvironmentClassical / predictive MLContract and in-house
Random forest models for predicting water quality of inland waters from remotely sensed imagery
DOI-0137 · USGS
DOIPilotNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Seasonal Water Supply Forecasting: Pyforecast [2024 INV#DOI-69]
DOI-0047 · BOR
DOIPilotNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Piloting Machine Learning Inflow Forecasts Across Reclamation [2024 INV#DOI-58]
DOI-0046 · BOR
DOIPilotNot high-impactEnergy and the EnvironmentClassical / predictive MLPurchased from vendor
Drone Imagery Analysis
DOE-539 · LM HQ - Office of Legacy Management (LM)
DOEPilotNot high-impactEnergy and the EnvironmentClassical / predictive MLPurchased from vendor
Soil Moisture Modeling
DOE-545 · LM HQ - Office of Legacy Management (LM)
DOEPilotNot high-impactEnergy and the EnvironmentClassical / predictive MLPurchased from vendor
Advanced Long Term Environmental Monitoring Systems (ALTEMIS)
DOE-714 · SRS - SRNL - Savannah River Site - Savannah River National L
DOEPilotHigh-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Well Activity Report Classification
DOI-0256 · BSEE
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLContract and in-house
Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311]
DOI-0163 · USGS
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Improved Processing and Analysis of Test and Operating Data from Rotating Machines [2024 INV#DOI-62]
DOI-0041 · BOR
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLDeveloped in-house
Mapping ecohydrological headwater refugia
DOI-0164 · USGS
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Remote sensing of particulate and filter passing mercury species: models and proxies
DOI-0157 · USGS
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
An integrated sensor network and data driven approach to satellite remote sensing of Dissolved Organic Matter
DOI-0154 · USGS
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Using Machine Learning to Automate Crack Mapping and Structural Health Monitoring
DOI-0048 · BOR
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Machine Learning Refines Quagga Habitat Suitability [2024 INV#DOI-74 (NEW)]
DOI-0045 · BOR
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Machine Learning Applied to Geotechnical Engineering: Statistical Methods Applied to Seismic Analysis [2024 INV#DOI-71 (NEW)]
DOI-0044 · BOR
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Machine Learning for Chemical Savings at Reverse Osmosis Plants [2024 INV#DOI-73 (NEW)]
DOI-0043 · BOR
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Geothermal Energy Assessments
DOI-0039 · USGS
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Lithium Potential Assessments
DOI-0038 · USGS
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Mineral Resource Assessments
DOI-0037 · USGS
DOIPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Late seral forest complexity
USDA-147 · Natural Resources and Environment
USDAPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Forest demographic modelling
USDA-153 · Natural Resources and Environment
USDAPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Natural Language Processing
DOE-118 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
DOE AI Data Infrastructure System
DOE-120 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Creation of polymer datasets and inverse design of polymers with targeted backbones having High CO2 permeability and high CO2/N2 selectivity.
DOE-125 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
To use AI to calibrate the simulation model by matching simulation data with production history data.
DOE-150 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Data discovery, processing, and generation using machine learning for a range of CCS data and information
DOE-179 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
IDAES-PSE
DOE-531 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
NRAP-Open-IAM
DOE-532 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Offshore AIIM Dashboard
DOE-597 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Enhancing the circularity: Cost effective battery de-energization, disassembly, and pre-processing (CEBDDP)
DOE-622 · EE HQ - EE Headquarters (EE)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Consolidated Nuclear Waste Glass Database
DOE-629 · SRS - SRNL - Savannah River Site - Savannah River National L
DOEPre-deploymentPresumed high-impact, determined notEnergy and the EnvironmentClassical / predictive MLNot reported
Smart CO2 Transport-Route Planning Tool
DOE-678 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Performance Monitoring at the Salt Waste Processing Facility (SWPF)
DOE-713 · SRS - SRNL - Savannah River Site - Savannah River National L
DOEPre-deploymentPresumed high-impact, determined notEnergy and the EnvironmentClassical / predictive MLNot reported
Identifying Controlling Variables for Mercury Vapor Release at Y-12's Alpha-4
DOE-736 · SRS - SRNL - Savannah River Site - Savannah River National L
DOEPre-deploymentHigh-impactEnergy and the EnvironmentClassical / predictive MLNot reported
To drive insights on the power system reliability, cost, and operations during the energy transition with and without FECM technologies
DOE-93 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
To drive insights on the dependencies between the natural gas and electricity sectors to increase reliability of the NG system
DOE-94 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
Data platform to expedite access and reuse of carbon ore data for materials, manufacturing and research
DOE-98 · NETL - National Energy Technology Laboratory (FECM)
DOEPre-deploymentNot high-impactEnergy and the EnvironmentClassical / predictive MLNot reported
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