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Federal
Airfoil Computational Fluid Dynamics - 2k shapes, 25 AoA's, 3 Re numbers
Department of Energy —
This dataset contains aerodynamic quantities - including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and... -
Federal
Airfoil Computational Fluid Dynamics - 9k shapes, 2 AoA's
Department of Energy —
This dataset contains aerodynamic quantities - including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and... -
Federal
PV Inverter Experimental Dataset Version 2 with 100 Percent Power
Department of Energy —
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation... -
Federal
Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States
Department of Energy —
This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning... -
Federal
Battery Inverter Experimental Data
Department of Energy —
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation... -
Federal
Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
Department of Energy —
This dataset contains turbine- and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric... -
Federal
Brady Geodatabase for Geothermal Exploration Artificial Intelligence
Department of Energy —
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial... -
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
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
Department of Energy —
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... -
Federal
Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites
Department of Energy —
The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to... -
Federal
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
Department of Energy —
This data set shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes. -
Federal
Programs and Code for Geothermal Exploration Artificial Intelligence
Department of Energy —
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from... -
Federal
Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments
Department of Energy —
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine... -
Federal
Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events
Department of Energy —
This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report... -
Federal
Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence
Department of Energy —
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial... -
Federal
Fuel Cell Inverter Dataset
Department of Energy —
This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter... -
Federal
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Department of Energy —
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic... -
Federal
Split Phase Inverter Data
Department of Energy —
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation... -
Federal
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Department of Energy —
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal... -
Federal
Appendices for Geothermal Exploration Artificial Intelligence Report
Department of Energy —
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect...