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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies
This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...
Bush, B. National Renewable Energy Laboratory
Aug 01, 2020
2 Resources
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2 Resources
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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
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2 Resources
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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
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1 Resources
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Public Reference Data for Megawatt-Scale Hydrogen Electrolysis NLR Historical Wind
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis from variable sources, hydrogen compression and storage, and hydrogen fuel cell power production using megawatt-scale equipment at NLR’s Flatirons Campus as par...
Abel, R. et al National Laboratory of the Rockies
Mar 23, 2026
6 Resources
0 Stars
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6 Resources
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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
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2 Resources
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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
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2 Resources
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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
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2 Resources
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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
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2 Resources
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Public Reference Data for Megawatt-Scale Hydrogen Electrolysis – Simulated Wave
The U.S. Department of Energy and the 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 R...
Abel, R. et al National Laboratory of the Rockies
Dec 12, 2025
11 Resources
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11 Resources
0 Stars
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Public Reference Data for Megawatt-Scale Hydrogen Electrolysis – Simulated Wind
The U.S. Department of Energy and the 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 R...
Abel, R. et al National Laboratory of the Rockies
Dec 12, 2025
15 Resources
0 Stars
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15 Resources
0 Stars
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OPFLearnData: Dataset for Learning AC Optimal Power Flow
The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to t...
Joswig-Jones, T. et al National Renewable Energy Laboratory
Oct 26, 2021
12 Resources
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12 Resources
0 Stars
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Outdoor Deployment Data for a Four-Terminal GaAs//Si Tandem Solar Mini-Module
This dataset contains the complete outdoor measurement and analysis data for a mechanically stacked, four-terminal (4T) gallium arsenide (GaAs)//silicon (Si) tandem solar mini-module deployed from October 2019 to January 2021 at the Solar Radiation Research Laboratory (SRRL) in Go...
Springer, M. et al National Laboratory of the Rockies
Apr 03, 2026
1 Resources
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1 Resources
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FCIC FY18 LT-baseline Feedstock Images
Set of images taken during pilot plant dilute-acid hydrolysis preatreatment reactor operation. Images were taken with a GoPro Hero 5 with rectilinear lens facing downwards on a weigh-belt instrument. Image period was every 30 seconds during operation. This image set is connec...
Sievers, D. National Renewable Energy Laboratory
Jul 24, 2020
31 Resources
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31 Resources
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United States County-Level Industrial Energy Use
Estimated industrial manufacturing agriculture construction and mining energy estimated by North American Industrial Classification System NAICS code county and fuel type for 2014. Additional disaggregation by end use e.g. machine drive process heating facility lighting is provide...
McMillan, C. and Narwade, V. National Renewable Energy Laboratory
Sep 27, 2018
7 Resources
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7 Resources
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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents
Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.
Stanley, T. et al National Renewable Energy Laboratory
Aug 10, 2021
1 Resources
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1 Resources
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Quantifying and Monetizing Renewable Energy Resiliency
As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.
Lisell, L. et al National Renewable Energy Laboratory
Mar 13, 2018
3 Resources
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3 Resources
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DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release
DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...
Stanley, T. et al National Renewable Energy Laboratory
Apr 01, 2020
10 Resources
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10 Resources
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NREL Price Series Developed for the ARPA-E FLECCS Program
The price data for four regions (CAISO, ERCOT, MISO-W, and PJM-W) are developed using the ReEDS to PLEXOS conversion as described in (Gagnon et al. 2020). The reference ReEDS case chosen is based on the 2020 Standard Scenario Mid-case, which uses the 2020 ReEDS model version (Cole...
Cohen, S. and Durvasulu, V. National Renewable Energy Laboratory
Dec 23, 2021
2 Resources
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2 Resources
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Q1-2025 Solar Photovoltaic System Cost Benchmarks
The U.S. Department of Energy’s solar office and its national laboratory partners analyze cost data for U.S. solar photovoltaic systems to develop cost benchmarks to measure progress toward goals and guide research and development programs. The cost data is available in an Excel...
Basore, P. et al National Laboratory of the Rockies
Dec 22, 2025
7 Resources
1 Stars
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7 Resources
1 Stars
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Thermal Cooling Water Datasets for Electric Sector Modeling
This spreadsheet contains data inputs associated with representations of water (i.e., use, supply, costs) for thermo-electric based production. Values in this spreadsheet have been used to support multiple transmission-related planning studies, using models such as Regional Energy...
Cohen, S. et al National Renewable Energy Laboratory
Sep 09, 2024
1 Resources
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1 Resources
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Visualization Encoding Experiments for Power Systems Analysis
Through a human factors study, we evaluated the use of contour and glyph visualizations for two modern power systems models: an urban distribution model and a large-scale transmission model. This dataset provides model data and scripts for recreating the power flow data and visual...
Gruchalla, K. et al National Renewable Energy Laboratory
Oct 26, 2022
4 Resources
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4 Resources
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Assessing Total Cost of Driving Competitiveness of Zero-Emission Trucks
This file includes supporting data on modeled medium and heavy-duty vehicle (MHDV) stock, sales, energy consumption, greenhouse gas (GHG) emissions, and total cost of driving (TCD) for the scenarios presented in "Assessing Total Cost of Driving Competitiveness of Zero-Emission Tru...
Ledna, C. et al Center for Integrated Mobility Sciences
Feb 27, 2024
1 Resources
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1 Resources
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Q1-2024 Solar Cost Benchmarks
Each year, the U.S. Department of Energy’s (DOE) Solar Energy Technologies Office (SETO) and its national laboratory partners develop cost benchmarks for U.S. solar photovoltaic (PV) systems. These benchmarks track progress toward reducing solar costs and guide R&D prioritie...
Basore, P. et al National Laboratory of the Rockies
Dec 10, 2025
1 Resources
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1 Resources
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LA100 Equity Strategies: Rates and Affordability Report Data Appendices
Appendix data tables to accompany LA100 Equity Strategies Chapter 5: Rates and Affordability
Bowen, T. and Simeone, C. National Renewable Energy Laboratory
Jul 25, 2023
7 Resources
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7 Resources
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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
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6 Resources
0 Stars
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