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EERE Energy Analysis Data and Tools
On this website, energy analysts and policymakers can access energy analysis products, including published analyses, energy data and maps, and analysis tools from EERE and the broader DOE-supported energy analysis community. While the website provides links to important energy ana...
Ma, S. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS
The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...
Palmintier, B. et al National Renewable Energy Laboratory (NREL)
Dec 18, 2020
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
Screening Tool for Equitable Adoption and Deployment of Solar (STEADy Solar)
The Screening Tool for Equitable Adoption and DeploYment of Solar (STEADy Solar) is a database and mapping tool designed to promoting clean energy investments for low-income communities across the United States. The tool indicates locations that may be eligible for the Investment ...
Ferrall-Wolf and McLarenNational Renewable Energy Laboratory
May 24, 2024
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Federal Energy and Manufacturing Workforce Training Programs
The National Science Foundation, the Department of Labor and the Department of Energy have programs that support training for jobs in energy and manufacturing related workforce training programs. This dataset provides a searchable list of the training programs in these areas showi...
Silverman, L. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Socioeconomic Data for the Permian Basin
This dataset was compiled to support socioeconomic analyses of counties in the Permian Basin in Texas and New Mexico for the Permian Energy Development Lab (PEDL). The metrics in the dataset are organized into four categories: Socioeconomics, Health & Wellbeing, Jobs & Wor...
RossNational Renewable Energy Laboratory
May 16, 2024
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production
This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in the United States. The dataset includes information regarding energy generation, PM2.5, clearness index, temperature, wind speed, precipitation, and site size.
Gilletly, S. et al Sandia National Laboratories
May 15, 2023
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Solar Technology Acceleration Center (SolarTAC): Solar Resource & Meteorological Assessment Project (SOLRMAP)
Located in Colorado, near Denver International Airport, SolarTAC is a private, member-based, 74-acre outdoor facility where the solar industry tests, validates, and demonstrates advanced solar technologies. SolarTAC was launched in 2008 by a public-private consortium, including M...
Andreas and WilcoxNational Renewable Energy Laboratory
Jan 19, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Rooftop Solar Challenge (RSC) Database
The Solar Metrics Online Portal collects data from teams participating in the Rooftop Solar Challenge (RSC II). The data is collected from each jurisdiction on a team over three time periods (past, present, and future). The data collected is used to calculate a team's market matur...
Huneycutt, J. and Laboratory, N. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
0 Stars
In curation
12 Resources
0 Stars
In curation