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BUTTER Empirical Deep Learning Dataset
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Peregrine HPC Energy Research
Complete power and performance metric data for 10,000 jobs randomly selected from two years of the Peregrine system’s operation (all jobs prior to October, 2015). Complete power and performance metric data for jobs run on the Peregrine system in April, 2015. Related Publica...
Phillips, C. National Renewable Energy Laboratory
Apr 10, 2024
2 Resources
0 Stars
Publicly accessible
2 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
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 Laboratory of the Rockies
Dec 15, 2021
3 Resources
0 Stars
Publicly accessible
3 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
Organic Photovoltaic (OPV) Database
A database of quantum mechanical calculations on organic photovoltaic candidate molecules. Related Publications: Peter C. St. John, Caleb Phillips, Travis W. Kemper, A. Nolan Wilson, Michael F. Crowley, Mark R. Nimlos, Ross E. Larsen. (2018) Message-passing neural networ...
St. John, P. National Renewable Energy Laboratory
Apr 10, 2024
8 Resources
0 Stars
Publicly accessible
8 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, sonar image-trained detection, counting, tracking 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 ...
Gutstein, S. et al Water Power Technology Office
Aug 25, 2024
6 Resources
0 Stars
Publicly accessible
6 Resources
0 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
Publicly accessible
Residential HVAC Ductwork Evaluation, Repair, and Replacement Workforce Survey Data (Questions and Responses), Southeastern United States, Nov 2025 to Jan 2026
This submission contains two data resources associated with an HVAC workforce engagement study conducted by the Southeast Energy Efficiency Alliance (SEEA) and the Florida Solar Energy Center (FSEC) as part of their ?Optimizing Heat Pump Readiness? Building America project. The da...
Fenaughty, K. et al Southeast Energy Efficiency Alliance
Nov 18, 2025
1 Resources
0 Stars
In progress
1 Resources
0 Stars
In progress
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
This dataset 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.
Nemsow, N. et al National Renewable Energy Laboratory
Dec 23, 2024
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Sup3rWind Data (CONUS)
This data contains paired European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5) and the Wind Integration National Dataset Toolkit (WTK) images for 2007 and 2010 over two regions in the US, with domain sizes ~800x800 (latitudes from 25.89 to 41.58, and long...
Sinha, S. et al National Renewable Energy Laboratory (NREL)
Jul 16, 2024
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Fuel Cell Inverter Dataset
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 operation in grid-connected dispatch, islanded load changes, transition from grid-connected mode to islanded mode and vice-...
Prabakar, K. et al National Renewable Energy Laboratory
Oct 21, 2024
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
TEAMER: Wave and Current Energy Converter Modeling Workshop Materials
This dataset contains the full set of training materials used in a marine hydrokinetic (MHK) modeling workshop conducted by Sandia National Laboratories for the University of Alaska Fairbanks, funded through the U.S. Department of Energy's TEAMER program. The workshop focused on t...
McWilliams, S. et al Sandia National Laboratories
Apr 18, 2025
7 Resources
0 Stars
Publicly accessible
7 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
7 Resources
0 Stars
Publicly accessible
Lahaina Energy Partnership
The Lahaina Energy Partnership project supported energy planning and rebuilding efforts in Hawaii's historic town of Lahaina on Maui. The project spanned three years, from 2024 to 2026, in response to wildfires in 2023 that damaged or destroyed more than two thousand structures an...
Sumner, J. et al National Laboratory of the Rockies (NLR)
Aug 24, 2026
0 Resources
0 Stars
In progress
0 Resources
0 Stars
In progress
PV Inverter Experimental Dataset Version 2 with 100 Percent Power
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...
Prabakar, K. et al National Renewable Energy Laboratory
Nov 10, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
PV Inverter Experimental Data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...
Prabakar, K. et al National Renewable Energy Laboratory
Jan 06, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Battery Inverter Experimental Data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We used controllable AC supply...
Prabakar, K. et al National Renewable Energy Laboratory
Jan 06, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Split Phase Inverter Data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the experiments. We used controllable ...
Prabakar, K. et al National Renewable Energy Laboratory
Mar 23, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 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
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes model...
Buster, G. et al National Renewable Energy Lab (NREL)
Oct 16, 2024
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Sup3rLoad Dataset
Sup3rLoad is a dataset of hourly electricity load for the contiguous United States that varies jointly with electrification and weather. It spans 2 electrification scenarios, 5 CMIP6 Earth system models (Sup3rCC, SSP2-4.5), 6 scenario years between 2025 and 2050, 60 weather years ...
Jones, R. et al Evolved Energy Research
Dec 06, 2025
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
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
Publicly accessible
7 Resources
0 Stars
Publicly accessible
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
Publicly accessible
12 Resources
0 Stars
Publicly accessible