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Modeled Electricity Demand Profiles for Electric Airport Ground Support Equipment in the United States
Electric airport ground support equipment (eGSE) hourly annual (8760) load datasets for the top 50 U.S. airports (by enplanements), as described in Liu et al. (2025).Please cite as:Liu, Bo, Kevin Robby, Jayaraj Rane, Adway Das, Kara Podkaminer, and Brennan Borlaug. 2025. Initial E...
Liu, . et al National Renewable Energy Laboratory
Jan 17, 2025
3 Resources
0 Stars
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3 Resources
0 Stars
Publicly accessible
2023 National Offshore Wind data set (NOW-23)
The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is curre...
Bodini, N. et al National Renewable Energy Laboratory
Jan 01, 2020
22 Resources
1 Stars
Publicly accessible
22 Resources
1 Stars
Publicly accessible
Heavy-Duty Electric Fleet Depot Charging Load Profiles & Substation Load Integration Assessment Results
This data set includes the 24-hour fleet depot charging load profiles (15-min. average demand) and substation load integration assessment results produced for the study, "Heavy-Duty Truck Electrification and the Impacts of Depot Charging on Electricity Distribution Systems", publi...
Borlaug, . et al National Renewable Energy Laboratory
Apr 20, 2021
4 Resources
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4 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 24, 2018
4 Resources
0 Stars
Publicly accessible
4 Resources
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Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 25, 2019
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
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GEOPHIRES Simulations for Deep Direct Use (DDU) Projects
This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...
Beckers, K. National Renewable Energy Laboratory
Jun 30, 2020
1 Resources
0 Stars
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1 Resources
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Combined Heat and Power Installation Database
The Combined Heat & Power (CHP) Installation Database contains information about all the known CHP installations across the country. This data is compiled through a variety of sources and is the only known data set of its kind. DOE, in partnership with the Oak Ridge National Labor...
Hampson, A. and Laboratory, O. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
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In curation
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
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4 Resources
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Rooftop Photovoltaic Technical Potential in the United States
This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. Contact: Meghan Mooney, Meghan.Mooney@nrel.gov The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potentia...
Gagnon, . et al National Renewable Energy Laboratory
Nov 05, 2019
5 Resources
0 Stars
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5 Resources
0 Stars
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Bouira University Digital Space
Description archive of our university and/or Remarks:
The University of Bouira offers visitors from Bouira University Digital Space a free downloadable files (memories doctoral, master, master, courses in different technological and literary disciplines, proceedings of scientif...
Chettabi, . National Renewable Energy Laboratory
Jan 08, 2000
1 Resources
0 Stars
In curation
1 Resources
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In curation
Renewable Energy Consumption for Electricity Generation by Energy Use Sector and Energy Source, 2004 2008
Provides annual renewable energy consumption (in quadrillion btu) for electricity generation in the United States by energy use sector (commercial, industrial and electric power) and by energy source (e.g. biomass, geothermal, etc.) This data was compiled and published by the Ener...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
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In curation
Historical Renewable Energy Consumption by Energy Use Sector and Energy Source, 1989-2008
Provides annual renewable energy consumption by source and end use between 1989 and 2008. This data was published and compiled by the Energy Information Administration.
Mulcahy, D. and Administration, U. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation
Industrial Biomass Energy Consumption and Electricity Net Generation by Industry and Energy Source, 2008
Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA).
Mulcahy, D. and Administration, U. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
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, . et al National Renewable Energy Laboratory
Jan 06, 2023
2 Resources
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2 Resources
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NREL Eagle supercomputer jobs
High performance computing dataset with 11M+ jobs from NREL's Eagle supercomputer. These jobs were submitted to run on Eagle between Nov 2018 and Feb 2023. The data are sufficiently anonymized and do not include sensitive user or project data. HPC research community does not have ...
Duplyakin, D. and Menear, K. National Renewable Energy Laboratory
Feb 28, 2023
4 Resources
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4 Resources
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Open-source technology database on Energy Storage
This database provides energy storage technologies, products, demonstration projects and analyses. Also, an Energy Map is created listing other sources of data, and an overview of the future potential estimations is provided. The data is machine-readable and open-source, working f...
Dorp, B. and Storage, E. National Renewable Energy Laboratory
Oct 10, 2014
2 Resources
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2 Resources
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Electricity Net Generation From Renewable Energy by Energy Use Sector and Energy Source, 2004 2008
Provides annual net electricity generation (thousand kilowatt-hours) from renewable energy in the United States by energy use sector (commercial, industrial, electric power) and by energy source (e.g. biomas, solar thermal/pv).
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
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, . 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, . et al National Renewable Energy Laboratory
Mar 23, 2023
2 Resources
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2 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, . et al National Renewable Energy Laboratory
Nov 10, 2023
2 Resources
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2 Resources
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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
1 Stars
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9 Resources
1 Stars
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Energy Generation by State and Technology (2009)
Provides annual energy generation for all states by fuel source (e.g. coal, gas, solar, wind) in 2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923).
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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In curation
3 Resources
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In curation
Renewable Energy Consumption for Nonelectric Use by Energy Use Sector and Energy Source, 2004 2008
This dataset provides annual renewable energy consumption (in quadrillion Btu) for nonelectric use in the United States by energy use sector and energy source between 2004 and 2008. The data was compiled and published by EIA; the spreadsheet provides more details about specific so...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation
In-Situ Blade Strain Measurements of a Crossflow Turbine Operating in a Tidal Flow
This data was collected between October 25 and December 12 of 2022 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). The goal was to collect blade strain data from a crossflow turbine operating in a tidal flow. A t...
Bharath, A. et al National Renewable Energy Laboratory
Dec 16, 2022
17 Resources
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17 Resources
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Renewable Energy Consumption by Energy Use Sector and Energy Source, 2004 2008
Provides annual consumption (in quadrillion Btu) of renewable energy by energy use sector (residential, commercial, industrial, transportation and electricity) and by energy source (e.g. solar, biofuel) for 2004 through 2008. Original sources for data are cited on spreadsheet. Als...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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