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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
Publicly accessible
9 Resources
1 Stars
Publicly accessible
U.S. Voluntary Green Power Market Data 2017
This data book provides certain data behind figures and tables found in the NREL report Status and Trends in the U.S. Voluntary Green Power Market 2017 Data. These data reflect estimates based on the best available data.
O'Shaughnessy. . et al National Renewable Energy Laboratory
Oct 01, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Deep Green Unannotated Protein Structures
The Deep Green list is based on the identification and curation of conserved unannotated proteins in three green lineage (Viridiplantae) model organisms; Arabidopsis thaliana, Chlamydomonas reinhardtii, and Setaria viridis. Preliminary characterization of Deep Green proteins and g...
Knoshaug. . et al National Renewable Energy Laboratory
Apr 20, 2023
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Voluntary Green Power Market Data 2019
This data book provides certain data behind figures and tables found in the NREL presentation, Status and Trends in the U.S. Voluntary Green Power Market (2019 Data). These data reflect estimates based on the best available data.
Heeter and O'ShaughnessyNational Renewable Energy Laboratory
Sep 22, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
U.S. Voluntary Green Power Market Data 2018
This data book provides certain data behind figures and tables found in the NREL presentation Status and Trends in the U.S. Voluntary Green Power Market 2018 Data. These data reflect estimates based on the best available data.
Heeter and O'ShaughnessyNational Renewable Energy Laboratory
Oct 03, 2019
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Status and Trends in the U.S. Voluntary Green Power Market (2021 Data)
This data book provides certain data behind figures and tables found in the NREL presentation "Status and Trends in the Voluntary Market (2021 Data)." These data reflect estimates based on the best available data. Excluded Data This data book excludes data for certain fi...
O'Shaughnessy and HeeterNational Renewable Energy Laboratory
Sep 26, 2022
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NREL Green Power Data 2020
This data book provides certain data behind figures and tables found in the NREL presentation "Status and Trends in the Voluntary Market (2020 Data)." These data reflect estimates based on the best available data.
O'Shaughnessy. . et al National Renewable Energy Laboratory
Oct 15, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Renewable Electricity Procurement Options Data
The Procurement Analysis Tool (PAT) was developed at NREL to help organizations explore renewable energy options that align with their goals. Users input facility data and answer goal-oriented questions. PAT analyzes this information to identify potential wind, solar, or storage r...
Day, M. National Renewable Energy Laboratory
Nov 12, 2019
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
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...
BushNational Renewable Energy Laboratory
Aug 01, 2020
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
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.
Nemsow. . et al National Renewable Energy Laboratory
Dec 23, 2024
2 Resources
0 Stars
Publicly accessible
2 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. . et al National Renewable Energy Laboratory
Oct 21, 2024
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Community Solar Project Database
This database represents a list of community solar projects identified through various sources as of Spring 2018. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the souces e.g. press releases may be duplicated in the list. Blank sp...
O'Shaughnessy. . et al National Renewable Energy Laboratory
Jul 27, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NASA Building 12 Wind Turbines Phase 1 Data
Completed in December 2014, the NASA Building 12 installation consists of four Urban Green Energy Eddy GT turbines. The NASA Building 12 project involved detailed pre-construction and post-construction measurements. NREL researchers initiated a measurement campaign consisting of m...
Fields, J. and NREL, . National Renewable Energy Laboratory
Dec 28, 2015
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
0 Stars
In curation
2 Resources
0 Stars
In curation
MOIS CAD Models
SolidWorks models of the Modular Ocean Instrumentation System (MOIS) data acquisition system components in it's subsea enclosure. The zip file contains all the components necessary for the assembly.
Nelson, E. National Renewable Energy Laboratory
Dec 03, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
U.S. Wind Siting Regulation and Zoning Ordinances
A machine readable collection of documented wind siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (Linked in the submission), National...
Lopez, A. et al National Renewable Energy Laboratory
Jun 30, 2022
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
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...
SieversNational Renewable Energy Laboratory
Jul 24, 2020
31 Resources
0 Stars
Publicly accessible
31 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)
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
Nov 13, 2017
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
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
Publicly accessible
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
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)
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 19, 2016
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Occupant Behavior in Commercial Buildings: Synthetic Population, Co-Simulation with EnergyPlus and Agent Based Modeling
This technical manual serves as an outline of three separate research projects related to building energy performance modeling of occupant behavior, conducted at the Rutgers Center for Green Building (RCGB): a Synthetic Population project, a Co-Simulation of Synthetic Population w...
Andrews, C. National Renewable Energy Laboratory
Apr 27, 2016
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation