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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
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2 Resources
0 Stars
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Oahu Solar Measurement Grid (1-Year Archive): 1-Second Solar Irradiance; Oahu, Hawaii (Data)
Seventeen measurement stations in the south western region of the island of Oahu collected data at 1-second intervals over the course of a year. The sensors are located in a 1-kilometer grid and the information then can be used to predict what PV outputs might be at 1-second inte...
Sengupta and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
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2 Resources
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Peregrine HPC Energy Research
Complete power and performance metric data for 10,000 jobs randomly selected from two years of the Peregrine system’s operation (all jobs prior to October, 2015). Complete power and performance metric data for jobs run on the Peregrine system in April, 2015. Related Publica...
PhillipsNational Renewable Energy Laboratory
Apr 10, 2024
2 Resources
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2 Resources
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DEPRECATED State Policies and Programs for Community Solar (2024 Q2 Update)
This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/249
The purpose of this dataset is to summarize current community solar policies and low-income stipulations by the state in the United St...
Xu, . et al National Renewable Energy Laboratory
Apr 03, 2024
1 Resources
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1 Resources
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Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data
This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar.
Three different household-level surveys were...
Sigrin, . et al National Renewable Energy Laboratory
May 22, 2017
13 Resources
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13 Resources
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Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections 2015 Edition
This is the fourth edition in an annual briefing prepared jointly by LBNL and NREL intended to provide a high-level overview of historical, recent, and projected near-term PV system pricing trends in the United States. The briefing draws on several ongoing research activities at t...
Feldman, . et al National Renewable Energy Laboratory
May 12, 2016
1 Resources
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1 Resources
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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
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51 Resources
0 Stars
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Solar radiation monitoring for University of Nevada (UNLV), Las Vegas, Nevada
A partnership with the University of Nevada and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diff...
Stoffel and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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DEPRECATED Sharing the Sun Community Solar Project Data (December 2022)
This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/244
This database represents a list of community solar projects identified through various sources as of Dec 2022. In addition, this data...
Chan, . et al National Renewable Energy Laboratory
Jul 31, 2023
2 Resources
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2 Resources
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Caerbannog Point Clouds
The Caerbannog Point Clouds provide point-sampled 3D models occluded in clouds of points. We synthesized the 3D point clouds from polygonal models, point-sampling the models and surrounding them in a point cloud such that the shape of the model is occluded in any 2D projection. We...
Raghupathi, . et al National Renewable Energy Laboratory
Dec 01, 2020
6 Resources
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6 Resources
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DEPRECATED Sharing the Sun Community Solar Project Data (December 2023)
This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/244
This database represents a list of community solar projects identified through various sources as of Dec 2023. In addition, this data...
Xu, . et al National Renewable Energy Laboratory
Mar 08, 2024
1 Resources
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1 Resources
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Grid Connected Functionality
Dataset demonstrating the potential benefits that residential buildings can provide for frequency regulation services in the electric power grid. In a hardware-in-the-loop (HIL) implementation, simulated homes along with a physical laboratory home are coordinated via a grid aggreg...
Baker, . et al National Renewable Energy Laboratory
Jun 21, 2016
1 Resources
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1 Resources
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Load-Packaged AC/DC and DC/DC Power Electronics Converter Performance Data
This data set contains experimentally characterized performance data from load-packaged alternating current to direct current (AC/DC) and direct current to direct current (DC/DC) power electronics converters associated with lighting devices and miscellaneous electrical loads typic...
Santos, . et al National Renewable Energy Laboratory
Apr 13, 2022
96 Resources
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96 Resources
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Municipal Franchise Agreements and Energy Objectives
This data set includes franchise agreement-related information from 3,538 municipalities nationwide including data on franchise length, fees, agreement language, and energy objectives.
Cook and GrunwaldNational Renewable Energy Laboratory
Dec 04, 2019
1 Resources
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1 Resources
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Solar Radiation Monitoring Station (SoRMS): Humboldt State University, Arcata, California (Data)
A partnership with HSU and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal irradi...
Wilcox and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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WEC-Sim Wave Energy Converter Simulator
WEC-Sim (Wave Energy Converter SIMulator) is an open-source wave energy converter (WEC) simulation tool.
The code is developed in MATLAB/SIMULINK using the multi-body dynamics solver SimMechanics. WEC-Sim has the ability to model devices that are comprised of rigid bodies, powe...
Lawson, . et al National Renewable Energy Laboratory
Mar 15, 2016
1 Resources
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1 Resources
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An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030
Output data from an NREL report entitled "An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030" (NREL/TP-6A20-67675), which analyzes the spatial variation of levelized cost of energy (LCOE) and levelized avoided cost of energy (LACE) to ...
Beiter, . et al National Renewable Energy Laboratory
May 17, 2017
1 Resources
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1 Resources
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Sun Spot One (SS1): San Luis Valley, Colorado (Data)
A partnership with industry and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal i...
Stoffel and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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Behind-the-Meter Storage Policy Stack
A variety of studies and disparate data sets track state energy storage policies, but these datasets do not cover all BTM-related storage policy. Moreover, these databases do not align policies with the policy stacking framework. Thus, it is unclear which BTM storage policies are ...
Cook, . et al National Renewable Energy Laboratory
Aug 09, 2022
1 Resources
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1 Resources
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University of Oregon: GPS-based Precipitable Water Vapor (PWV)
A partnership with the University of Oregon and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect Precipitable Water Vapor (PWV) data to compliment existing resource assessment data collection by the university.
Andreas and VignolaNational Renewable Energy Laboratory
Jan 19, 2016
1 Resources
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1 Resources
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Sacramento Municipal Utility District (SMUD): Rotating Shadowband Radiometer (RSR); Anatolia Rancho Cordova, California (Data)
A partnership with industry and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal i...
Maxey and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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University of Texas Panamerican (UTPA): Solar Radiation Lab (SRL); Edinburg, Texas (Data)
This measurement station monitors global horizontal, direct normal, and diffuse horizontal irradiance to define the amount of solar energy that hits this particular location.
Ramos and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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United States Virgin Islands: St. Thomas (Bovoni) & St. Croix (Longford)
Two measurement stations to collect wind data to support future wind power generation in the U.S. Virgin Islands.
Roberts and AndreasNational Renewable Energy Laboratory
Jun 03, 2015
2 Resources
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2 Resources
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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
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1 Resources
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County Electric Vehicle Home Charging Access Shares from the 2030 National Charging Network Study
Ge, . et al National Renewable Energy Laboratory
Dec 23, 2024
3 Resources
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3 Resources
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