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National Renewable Energy Laboratory (NREL)×

Residential Loads May 2, 2016

Power measurements for various residential appliances in the System Performance Lab (SPL) in the Energy System Integration Facility (ESIF). This data set was collected as part of a project evaluating a new type of power meter that can reduce the cost of submetering many circuits i...
SparnNational Renewable Energy Laboratory
Jun 14, 2016
1 Resources
0 Stars
Publicly accessible

Observations and Lessons Learned in Residential Roofing Integrated Photovoltaics

The data file includes field observations of residential roofing integrated photovoltaics installation that happened between July 2021 and June 2022 in California. There are 21 observations 2 in the re-roofing category and 19 in the new construction category. The file include...
Cook and JenaNational Renewable Energy Laboratory
Mar 15, 2023
1 Resources
0 Stars
Publicly accessible

Multi-Sensor Object Detection Data from Infrastructure Sensors Deployed at Traffic Intersections in the City of Colorado Springs, Colorado, USA

The dataset provided here was collected as a part of the US Department of Transportation (USDOT) Strengthening Mobility and Revolutionizing Transportation (SMART) project, where the City of Colorado Springs (Colorado, USA) and National Renewable Energy Laboratory (NREL) collaborat...
Sandhu. . et al National Renewable Energy Laboratory
Mar 11, 2025
6 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

Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System

This dataset contains capacity credit values of solar PV, onshore and offshore wind, and 4-hour and 8-hour battery storage at the ReEDS' BA region resolution. The dataset is an output of the 2023 Standard Scenarios, generated using the Regional Energy Deployment System (ReEDS) model.
Pham. . et al Accelerated Deployment and Decision Support Center
Oct 14, 2024
106 Resources
0 Stars
Publicly accessible
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