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Rotating Shadowband Radiometer (RSR) Data for Los Angeles, California
The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to supp...
Stoffel and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
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Solar Resource and Meteorological Assessment Project (SOLRMAP): Observed Atmospheric and Solar Information System (OASIS) Data for Tucson, Arizona
The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to supp...
Wilcox and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Solar Resource and Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR) Data for Milford, Utah
The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to supp...
Wilcox and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
2020 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
Starting in 2015 NREL has presented the Annual Technology Baseline (ATB) in an Excel workbook that contains detailed cost and performance data, both current and projected, for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This up...
Akar, . et al National Renewable Energy Laboratory
Jul 28, 2020
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Life Cycle Emissions Factors for Electricity Generation Technologies
This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion batt...
Nicholson and HeathNational Renewable Energy Laboratory
Aug 23, 2021
2 Resources
0 Stars
Publicly accessible
2 Resources
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Publicly accessible
2017 Annual Technology Baseline (ATB): Cost and Performance Data for Electricity Generation Technologies
Each year since 2015, NREL has presented Annual Technology Baseline (ATB) in a spreadsheet that contains detailed cost and performance data (both current and projected) for renewable and conventional technologies. The spreadsheet includes a workbook for each technology. This sprea...
Hand, . et al National Renewable Energy Laboratory
Aug 21, 2017
1 Resources
0 Stars
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1 Resources
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Sacramento Deep Energy Retrofit (DER) Home Study
This project was part of the Sacramento Municipal Utility District (SMUD) Deep Energy Retrofit (DER) Project which included several other homes in addition to the the subject of this study. Some of the reports and presentations included in this dataset cover the whole DER project....
Keesee, M. Sacramento Municipal Utility District
Aug 10, 2016
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States
This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events....
Gunda, T. and Jackson, N. Sandia National Laboratories
Apr 01, 2021
2 Resources
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2 Resources
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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
0 Stars
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2 Resources
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Efficiency and Demand Flexibility in Large Office Buildings
Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (https://doi.org/10.2172/1989231). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_...
McLaren, . et al National Renewable Energy Laboratory
Jan 13, 2023
51 Resources
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51 Resources
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Solar Radiation Monitoring of Bluefield State College: Bluefield, West Virginia (Data)
The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradianc...
Stoffel and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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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
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1 Resources
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Q1 2023 U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks With Minimum Sustainable Price Analysis Data File
The U.S. Department of Energy's (DOE's) Solar Energy Technologies Office (SETO) aims to accelerate the advancement and deployment of solar technology in support of an equitable transition to a decarbonized economy no later than 2050, starting with a decarbonized power sector by 20...
Ramasamy, . et al National Renewable Energy Laboratory
Sep 25, 2023
4 Resources
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4 Resources
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PNNL Distribution System State Estimator Docker Image
This is the docker image for Pacific Northwest National Laboratory's (PNNL) distribution system state estimator (DSSE) used for the demo of OEDI-SI platform. To support the operation of modern distribution systems, operators require real-time visibility into system states. Due to ...
Bhatti, B. et al Pacific Northwest National Laboratory
Jul 10, 2023
6 Resources
2 Stars
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6 Resources
2 Stars
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Distributed Generation Market Demand (dGen) model
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
1 Stars
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4 Resources
1 Stars
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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 AMI devices and PMUs in order to accommodate extreme levels of PV. For this goal, w...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
2 Resources
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In curation
2 Resources
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In curation
The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017
The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a uni...
McMillan, C. et al National Renewable Energy Laboratory (NREL)
Jul 01, 2024
4 Resources
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4 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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Event-correlated Outage Dataset in America
This dataset includes aggregated and event-correlated power outages in the United States, synthesized by integrating two data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I) and the Electric Emergency Incident Disturbance Report (DOE-417). The...
She, B. et al Pacific Northwest National Laboratory
Oct 01, 2024
5 Resources
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5 Resources
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Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value for 2012-2020
Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...
Seel, J. et al Lawrence Berkeley National Lab
Oct 01, 2021
4 Resources
1 Stars
Publicly accessible
4 Resources
1 Stars
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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
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3 Resources
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The Performance House: A Cold Climate Challenge Home Old Greenwich
Working with builder partners on test homes allows for vetting of whole-house building strategies to eliminate any potential unintended consequences prior to implementing these solution packages on a production scale. To support this research, the Consortium for Advanced Residenti...
Williamson, J. et al Steven Winter Associates of the Consortium for Advanced Residential Buildings
Apr 27, 2016
4 Resources
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4 Resources
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Utility-Scale Solar, 2022 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2022 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Seel, J. et al Lawrence Berkeley National Lab
Sep 20, 2022
4 Resources
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4 Resources
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Rooftop Photovoltaic Technical Potential in the United States
This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. Contact: Meghan Mooney, Meghan.Mooney@nrel.gov The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potentia...
Gagnon, . et al National Renewable Energy Laboratory
Nov 05, 2019
5 Resources
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5 Resources
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A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data
We have collected data of cyber-induced mechanical faults on buildings using a simulation platform. A DOE reference building model was used for running the simulation under a Rogue device attack and collected the network data as well as the physical buildings data to better unders...
Balamurugan, . et al National Renewable Energy Laboratory
Jan 29, 2023
12 Resources
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12 Resources
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