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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
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
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Community Solar Resource Database
NREL has updated a database of publicly available resources related to community solar in the U.S., including journal articles, reports, fact sheets, slides, videos, datasets, webinars, and other formats. This effort aims to compile resources that would benefit all partners intere...
Burton and XuNational Renewable Energy Laboratory
Oct 27, 2022
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
U.S. Solar Siting Regulation and Zoning Ordinances
A machine readable collection of documented solar siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled based on a locality-by-locality review zoning ordinances after completing an initial review of scholarly l...
Lopez, A. et al National Renewable Energy Laboratory
Jun 30, 2022
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Solar PV Transmission Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from transmission. A setback requirement is a minimum distance from transmission infrastructure that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Solar PV Oil and Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from oil and gas pipelines. A setback requirement is a minimum distance from a pipeline that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely t...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Solar PV Railroad Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from railroads. A setback requirement is a minimum distance from a railroad that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely to arise as r...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Solar PV Structure Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from structures based on county ordinances as of April 2022. A setback requirement is a minimum distance from a structure that an energy project may be developed, and these varied widely across the counties in which they ex...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Solar PV Water Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from bodies of water based on county ordinances as of April 2022. A setback requirement is a minimum distance from water that an energy project may be developed, and these varied widely across the counties in which they exi...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Solar PV Road Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from roads based on county ordinances as of April 2022. A setback requirement is a minimum distance from a road that an energy project may be developed, and these varied widely across the counties in which they existed. Two...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Opportunities for Solar for Industrial Process Heat in the United States
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
McMillan. . et al National Renewable Energy Laboratory
Dec 24, 2020
22 Resources
0 Stars
Publicly accessible
22 Resources
0 Stars
Publicly accessible
Distributed Solar Technoeconomic Agent Characteristics dSTAC
These data files summarize key techno-economic metrics used in the NREL dGen model for modeling adoption of distributed solar by representative residential commercial and industrial entities for each county in the continental United States. As described further below many of the m...
Kwasnik and SigrinNational Renewable Energy Laboratory
Feb 07, 2019
51 Resources
0 Stars
Publicly accessible
51 Resources
0 Stars
Publicly accessible