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Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments
Department of Energy —
Previous moderate- and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate... -
Federal
Fish Detection AI, Optic and Sonar-trained Object Detection Models
Department of Energy —
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite... -
Federal
Reference Model 1 Full Scale Geometry (RM1: Tidal Current Turbine)
Department of Energy —
Contains the Reference Model 1 (RM1) full scale geometry files of the Tidal Current Turbine, developed by the Reference Model Project (RMP). These full scale geometry... -
Federal
Hybrid machine learning model to predict 3D in-situ permeability evolution
Department of Energy —
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a... -
Federal
DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano
Department of Energy —
Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway... -
Federal
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Department of Energy —
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells... -
Federal
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
Department of Energy —
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design... -
Federal
Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
Department of Energy —
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the... -
Federal
WaterTAP3 Model Results for NAWI's Baseline Analyses
Department of Energy —
This dataset contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the... -
Federal
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)
Department of Energy —
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island... -
Federal
Nuclear Energy Webpage
Department of Energy —
The Office of Nuclear Energy’s (NE) primary mission is to advance nuclear power as a resource capable of making major contributions in meeting our Nation’s energy... -
Federal
Microbial Taxa Distribution Data From 16S rRNA Analysis Of Desalination Operations At Carlsbad, CA And Tampa Bay, FL
Department of Energy —
This data set list the distribution of microbial taxa from three sets of sampling campaigns from unit operations in two large desalination facilities in the US... -
Federal
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions - September 2023 Report
Department of Energy —
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum... -
Federal
OEDI Data Management and Best Practices for Submitters and Curators
Department of Energy —
Resources for OEDI data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of OEDI. The Data... -
Federal
DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays
Department of Energy —
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA)...