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National Occupational Estimates 2023
This dataset provides occupational staffing patterns and proportional estimates across sub-sectors tracked by the US Energy Employment Report (USEER), including Advanced Natural Gas, Bioenergy, CHP, Coal, Geothermal, Land-Based Wind, Low-Impact Hydro, Natural Gas, Nuclear, Oil, Of...
Wegner Guilfoyle, K. National Laboratory of the Rockies (NLR)
Apr 13, 2026
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Caerbannog Point Clouds
The Caerbannog Point Clouds provide point-sampled 3D models occluded in clouds of points. We synthesized the 3D point clouds from polygonal models, point-sampling the models and surrounding them in a point cloud such that the shape of the model is occluded in any 2D projection. We...
Raghupathi, S. et al National Renewable Energy Laboratory
Dec 01, 2020
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)
The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios.
Sup3rCC is downscaled ...
Buster, G. et al National Renewable Energy Laboratory (NREL)
Apr 19, 2023
7 Resources
2 Stars
Publicly accessible
7 Resources
2 Stars
Publicly accessible
Dataset of Generative AI Workload Power Profiles
This dataset provides a collection of high-resolution (5/10 Hz or every 0.2/0.1 seconds) power consumption profiles for generative artificial intelligence (GenAI) workloads executed on NLR's High Performance Computing (HPC) platform Kestrel. The dataset also includes examples of r...
Vercellino, R. et al National Laboratory of the Rockies
Mar 31, 2026
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
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 the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
2 Stars
Publicly accessible
9 Resources
2 Stars
Publicly accessible
Dynamically Downscaled Hourly Future Weather Data with 12-km Resolution Covering Most of North America
This is an hourly future weather dataset for energy modeling applications. The dataset is primarily based on the output of a regional climate model (RCM), i.e., the Weather Research and Forecasting (WRF) model version 3.3.1. The WRF simulations are driven by the output of a genera...
Zeng, Z. et al Argonne National Laboratory
Oct 03, 2023
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
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
Publicly accessible
8 Resources
0 Stars
Publicly accessible
WIND Toolkit Long-Term Ensemble Dataset
WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indica...
Wang, J. et al National Renewable Energy Laboratory (NREL)
Jan 24, 2024
7 Resources
1 Stars
Publicly accessible
7 Resources
1 Stars
Publicly accessible
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis Simulated Marine Hydrokinetic Tidal Turbine
The U.S. Department of Energy and National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis, hydrogen compression and storage, and variable hydrogen fuel cell power production using megawatt-scale equipment at NLR’s Flatirons Campus as part of the Advanced Resea...
Abel, R. et al National Laboratory of the Rockies
May 19, 2026
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
Publicly accessible
39 Resources
1 Stars
Publicly accessible