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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
3 Resources
0 Stars
Publicly accessible
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
3 Resources
0 Stars
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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
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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1 Resources
0 Stars
Publicly accessible
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
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
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
12 Resources
0 Stars
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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
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7 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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1 Resources
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Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)
This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...
E., T. Cornell University
Sep 30, 2015
191 Resources
0 Stars
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191 Resources
0 Stars
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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Spatial Analysis of CIRES ASTER and LANDSAT thermal infrared anomalies
CIRES provided polygon shapefiles showing areas of anomalously warm ground, derived from ASTER and LANDSAT remotely sensed thermal infrared imagery. Partly from these anomalies, and partly through other evidence layers, CIRES came up with 'polygons' representing areas prospective ...
Zehner, R. Flint Geothermal, LLC
May 26, 2011
1 Resources
0 Stars
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1 Resources
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Fluid Geochemistry, Granite Springs Valley, Nevada Play Fairway Analysis
This data set is associated with the Nevada Play Fairway project. Excel file 5-Area Chem contains all the major chemistry for the areas sampled in the project. New analyses are in lines 2-30, while older analyses appear below that. Field Data excel file contains both field notes a...
Faulds, J. Nevada Bureau of Mines and Geology
Sep 14, 2017
5 Resources
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5 Resources
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MT Survey on the Glass Buttes Geothermal Exploration Project in Lake County, Oregon
Zonge Geosciences, Inc. performed a magnetotelluric (MT) survey for the Glass Buttes Project at the request of Ormat Technologies Inc. during the period of 7 October 2010 to 8 November 2010. This report provides the deep electromagnetic data and methods that were used to assist O...
Akerley, J. Ormat Nevada Inc
Nov 08, 2010
1 Resources
0 Stars
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1 Resources
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Inputs and Outputs for "A Resource Adequacy Assessment of Correlated Wide-Area Outages in the Power Grid”
This readme describes the input and output files associated with the study “A Resource Adequacy Assessment of Correlated Wide-Area Outages in the Power Grid” (DOI: 10.1088/2753-3751/add465). Specifically, it contains both the inputs and outputs of Probabilistic Resource Adequa...
Dhulipala. . et al National Renewable Energy Laboratory
May 19, 2025
3 Resources
0 Stars
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3 Resources
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Public Housing: A Tailored Approach to Energy Retrofits Raleigh
More than 1 million U.S. Department of Housing and Urban Development-supported public housing units provide rental housing for eligible low-income families across the country. These units range from scattered single-family houses to high-rise apartments. In this project, the Advan...
Dentz, J. et al The Levy Partnership, Inc Systems Building Research Alliance
Apr 27, 2016
7 Resources
0 Stars
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7 Resources
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NorthernSTAR 1.5-Story Demonstration House of Cold Climate Solutions for Affordable Housing
This is a NorthernSTAR renovation project for Urban Homeworks incorporating installation of a combination space and water heater, Overcoat insulation retrofit on the roof, and Excavationless foundation insulation retrofit.
STRUCTURE 1401 North 16th Ave Minneapolis, MN 55411
Var...
Jacobson, R. et al University of Minnesota NorthernSTAR Building America Partnership
Apr 27, 2016
12 Resources
0 Stars
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12 Resources
0 Stars
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Tularosa Basin Play Fairway Analysis: Temperature, Geochemistry, and Gravity Data
This submission contains multiple excel spreadsheets and associated written reports. The datasets area are representative of shallow temperature, geochemistry, and other well logging observations made across WSMR (white sands missile range); located to the west of the Tularosa Bas...
Nash, G. Energy and Geoscience Institute at the University of Utah
Jun 16, 2017
9 Resources
0 Stars
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9 Resources
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Snake River Plain Play Fairway Analysis: Mountain Home Geothermal Area Natural State Model
The Mountain Home area is characterized by high heat flow and temperature gradient. Temperature data are available from 18 boreholes with depths equal to or greater than 200 m, 5 of which have depths ranging from ~1340 m to ~3390 m (MH-1, MH-2, Bostic1, Lawrence D No.1, and Anschu...
Garg, S. et al Utah State University
Jul 28, 2015
4 Resources
0 Stars
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4 Resources
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Remote Sensing and Geology of Glass Buttes, Oregon
This data set includes Light Detection and Ranging (LiDAR) data, a remote sensing processing report, and a geologic map of the Glass Buttes study area for ORMAT.
The total area flown for the LiDAR remote sensing was 86,631 acres to fully encompass the area of interest (84,849 ac...
Akerley, J. et al Ormat Nevada Inc
Jun 21, 2010
3 Resources
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3 Resources
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Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The overall project area is 2500km2 with the Calibration Area (Dixie Valley Geothermal Wellfield) being about 170km2....
Iovenitti, J. AltaRock Energy Inc
Jan 02, 2014
11 Resources
0 Stars
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11 Resources
0 Stars
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Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection su...
Vasco, D. and Chan, C. Array Information Technology
Apr 30, 2022
2 Resources
0 Stars
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2 Resources
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Memos Relating to High-Priority Geothermal Targets in Colorado Selected for Further Study Flint Geothermal 2012
This dataset contains several memos describing geothermal targets outlined by Flint personnel in Colorado. Phase 1 involved an ASTER and LANDSAT thermal infrared imagery assessment conducted by CIRES of the University of Colorado, which identified areas of warm ground that might i...
Zehner, R. Flint Geothermal, LLC
Feb 27, 2014
3 Resources
0 Stars
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3 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Geology
The objective of this project is to use a multi-disciplinary, three-tiered approach to assess the geothermal resource and determine the feasibility of implementing a large-scale, direct-use facility for the Hawthorne Army Depot (HAD) and the various town and county facilities in H...
Lowry, T. and Oldow, J. Nevada Bureau of Mines and Geology
Mar 29, 2018
5 Resources
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5 Resources
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Fallon FORGE: LiDAR Acquisition and Processing Report
The data is associated to the Fallon FORGE project and includes LiDAR from the Navy GPO. Also included are geologic maps from the USGS and Nevada Bureau of Mines and Geology for the Fallon, NV area.
Bucher, K. et al Sandia National Laboratories
May 23, 2016
2 Resources
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2 Resources
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