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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
0 Stars
Publicly accessible

Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
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Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
0 Stars
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Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...
Williams, J. et al Global Technology Connection, Inc.
Jan 21, 2025
3 Resources
0 Stars
Publicly accessible

Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity October, 2025

This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent neural network (RNN) to predict induced seismicity. Background material is included t...
Williams, J. et al Global Technology Connection, Inc.
Oct 13, 2025
1 Resources
0 Stars
Publicly accessible

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Kelley, M. et al Battelle Memorial Institute
Jun 19, 2023
1 Resources
0 Stars
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INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
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TEAMER: Long Island Sound Tidal Resource Assessment Geodatabase Model

This submission includes the Long Island Sound (LIS) Tidal Energy Resource Geodatabase developed collaboratively by Integral Consulting Inc. and Future Island Impact (FII) as part of a TEAMER-supported pre-feasibility study. The geodatabase is provided as a QGIS project and includ...
Flanary, C. and Tanguay, N. Integral Consulting Inc.
Jul 10, 2025
3 Resources
0 Stars
Publicly accessible

GDR Data Management and Best Practices for Submitters and Curators

Resources for GDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the GDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for develo...
Weers, J. et al National Renewable Energy Laboratory
Mar 31, 2021
3 Resources
0 Stars
Publicly accessible

Community Geothermal: Connecticut Workforce Needs Assessment Report and Data

Included here is a geothermal industry workforce needs assessment report for Connecticut. As part of the DOE-funded Community Geothermal Heating and Cooling Design and Deployment grant, Northeast Energy Efficiency Partnership (NEEP) conducted several online surveys to gain a bett...
Macpherson, C. et al Connecticut Department of Energy and Environmental Protection (CT DEEP)
Jan 22, 2024
1 Resources
0 Stars
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MHKDR Data Management and Best Practices for Submitters and Curators

Resources for MHKDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the MHKDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for dev...
Weers, J. et al National Renewable Energy Laboratory
Dec 15, 2021
3 Resources
0 Stars
Publicly accessible

OEDI Data Management and Best Practices for Submitters and Curators

Resources for OEDI data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of OEDI. The Data Management and Submission Best Practices document also contains API access and metadata schema information for developer...
Weers, J. et al National Renewable Energy Laboratory
Sep 01, 2022
3 Resources
1 Stars
Publicly accessible

Fish Detection AI, Optic and Sonar-trained Object Detection Models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Slater, K. et al Water Power Technology Office
Jun 25, 2014
12 Resources
0 Stars
Publicly accessible

Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Mustafa, A. et al Battelle Memorial Institute
Sep 28, 2023
3 Resources
0 Stars
Publicly accessible

Acoustic Camera Debris Imaging Tanana River Test Site 2025

This data is raw acoustic camera recordings from two different acoustic cameras deployed in the Tanana River at the University of Alaska Fairbanks's (UAF's) Tanana River Test Site near Nenana, Alaska. The purpose of this data collection is to develop and train algorithms to identi...
Loeffler, B. et al University of Alaska Fairbanks
Jun 19, 2025
4 Resources
0 Stars
Publicly accessible

Geothermal Project NEPA Database

During the 2013 fiscal year, the National Renewable Energy Laboratory (NREL) developed the Geothermal National Environmental Policy Act (NEPA) Database with funding provided by the U.S. Department of Energy (DOE) Geothermal Technologies Office (GTO). The information in the databas...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2014
4 Resources
0 Stars
Publicly accessible

DEPRECATED. SEE UPDATE LINK BELOW. Distribution System Upgrade Unit Cost Database

REVISED 1/2/2019. SEE UPDATE LINK BELOW. This database contains unit cost information for different components that may be used to integrate distributed photovotaic D-PV systems onto distribution systems. Some of these upgrades and costs may also apply to integration of other dis...
HorowitzNational Renewable Energy Laboratory
Nov 20, 2017
3 Resources
0 Stars
Publicly accessible

TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters

Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement Learning (DRL) control in the wave tank. Unlike model-based controls, DRL control is model-free and can directly max...
Zou, S. et al Michigan Technological University
Mar 07, 2025
7 Resources
0 Stars
Publicly accessible

2019 Distribution System Upgrade Unit Cost Database Current Version

IMPORTANT NOTE: This is the current version of NREL's Distribution System Unit cost Database and should be considered the most up-to-date. Compared to the previous version (https//data.nrel.gov/submissions/77) this database has additional data points and has been modified for impr...
HorowitzNational Renewable Energy Laboratory
Jan 02, 2019
3 Resources
0 Stars
Publicly accessible

Exploration Best Practices on OpenEI

This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Young, K. National Renewable Energy Laboratory
Sep 20, 2013
2 Resources
0 Stars
Publicly accessible

Update on Geothermal Direct-Use Installations in the United States

An updated database of geothermal direct-use systems in the U.S. has been compiled and analyzed, building upon the Oregon Institute of Technology (OIT) Geo-Heat Center direct-use database. Types of direct-use applications examined include hot springs resorts and pools, aquaculture...
Beckers, K. et al National Renewable Energy Laboratory
Mar 02, 2017
2 Resources
0 Stars
Publicly accessible

National Residential Efficiency Measures Database (REMDB)

This project provides a national unified database of residential building retrofit measures and associated retail prices and end-user might experience. These data are accessible to software programs that evaluate most cost-effective retrofit measures to improve the energy efficien...
Moore, N. et al National Renewable Energy Lab NREL
Sep 29, 2023
5 Resources
0 Stars
Publicly accessible

Technical Reference for Hydrogen Compatibility of Materials

Sandia National Laboratories is conducting an extensive review of reports and journal publications to gather existing materials data for inclusion in the Technical Reference for Hydrogen Compatibility of Materials. Additionally, Sandia is working internationally with collaborators...
San Marchi, C. National Renewable Energy Laboratory
Nov 25, 2014
11 Resources
0 Stars
Publicly accessible

2014 Wind Turbine Gearbox Damage Distribution based on the NREL Gearbox Reliability Database

Despite the improvements in wind turbine gearbox design and manufacturing practices, the wind industry is still challenged by premature wind turbine gearbox failures. To help address this industry-wide challenge, a consortium called the Gearbox Reliability Collaborative (GRC) was ...
Sheng, S. National Renewable Energy Laboratory
Feb 09, 2015
2 Resources
0 Stars
Publicly accessible

M3 Wave DMP/APEX WEC Final Technical Report

This project successfully developed methods for numerical modeling of sediment transport phenomena around rigid objects resting on or near the ocean floor. These techniques were validated with physical testing using actual sediment in a large wave tank. These methods can be applie...
Morrow, M. et al M3 Wave
May 31, 2018
1 Resources
0 Stars
Publicly accessible
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