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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
Publicly accessible
12 Resources
0 Stars
Publicly accessible
INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Publicly accessible
9 Resources
1 Stars
Publicly accessible
BUTTER Empirical Deep Learning Dataset
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
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4 Resources
0 Stars
Publicly accessible
Reverse Osmosis Simulation Data
This dataset consists of computational fluid dynamics (CFD) output for various spacer configurations in a feed-water channel in reverse osmosis (RO) applications. Feed-water channels transport brine solution to the RO membrane surfaces. The spacers embedded in the channels help im...
Nadakkal Appukuttan, S. et al National Renewable Energy Lab NREL
Apr 22, 2024
2 Resources
0 Stars
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2 Resources
0 Stars
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NAWI Seedling Project: Foundational Control Methods for Water Treatment Systems Online Actuator and Sensor Data
This repository contains online actuator and sensor data and associated meta-data collected during the NAWI-funded seedling project with title: Foundational Control Methods for Water Treatment Systems. For detailed information on each dataset, please check the README included there.
Villez, K. et al Oak Ridge National Laboratory
Jan 01, 2020
7 Resources
0 Stars
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7 Resources
0 Stars
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Sup3rWind Data (CONUS)
This data contains paired European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5) and the Wind Integration National Dataset Toolkit (WTK) images for 2007 and 2010 over two regions in the US, with domain sizes ~800x800 (latitudes from 25.89 to 41.58, and long...
Sinha, S. et al National Renewable Energy Laboratory (NREL)
Jul 16, 2024
6 Resources
0 Stars
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6 Resources
0 Stars
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2024 Standard Scenarios: A U.S. Electricity Sector Outlook
This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050.
These files contain modeled projections of the future. Although we strive to capture relevant p...
Gagnon, P. et al National Renewable Energy Laboratory (NREL)
Dec 30, 2024
7 Resources
0 Stars
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7 Resources
0 Stars
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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
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5 Resources
1 Stars
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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
0 Stars
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Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers
This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 1,830 airfoil shapes computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes w...
Ramos, D. et al National Renewable Energy Laboratory (NREL)
Feb 10, 2023
3 Resources
0 Stars
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3 Resources
0 Stars
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Airfoil Computational Fluid Dynamics 9k shapes, 2 AoA's
This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 8,996 airfoil shapes, computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes ...
Ramos, D. et al National Renewable Energy Laboratory (NREL)
Feb 10, 2023
3 Resources
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3 Resources
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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
5 Resources
0 Stars
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5 Resources
0 Stars
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Gearbox Fault Diagnosis Data
This dataset is for the fault diagnosis of a gear crack in a two-stage gearbox using vibration signal processing techniques and recorded by using SpectraQuest's Gearbox Fault Diagnostics Simulator. The online vibration data were recorded with the help of four vibration sensors pla...
Pandya, Y. and Parey, A. Prestige Institute of Engineering Management and Research (PIEMR)
Jun 02, 2018
2 Resources
0 Stars
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2 Resources
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Photovoltaic Module Current-Voltage and Electroluminescence Image Data (PV-IV-EL)
This dataset consists of 613 sets of corresponding current-voltage trace (IV) flash test data and electroluminescence (EL) image data for commercial PV modules from the Photovoltaic Systems Evaluation Laboratory at Sandia National Laboratories. PV modules are from fielded systems ...
Byford, B. et al Sandia National Laboratories
Dec 15, 2015
5 Resources
0 Stars
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5 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 1
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
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29 Resources
0 Stars
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Transportation Secure Data Center
The Transportation Secure Data Center (TSDC) provides free access to detailed transportation data from a variety of travel surveys and studies conducted across the nation. Data include global positioning system (GPS) readings for millions of miles of travel, along with vehicle cha...
Fish, J. et al National Renewable Energy Laboratory (NREL)
Nov 01, 2015
3 Resources
0 Stars
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3 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 2
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
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29 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
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39 Resources
1 Stars
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NREL's Measurement and Instrumentation Data Center
The Measurement and Instrumentation Data Center (MIDC) provides irradiance and meteorological data from a network of ground stations in the U.S. It serves as a central location for accessing solar and weather data collected from various sites, including the prominent NREL Solar Ra...
Andreas, A. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
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2 Resources
0 Stars
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Demand-Side Grid (dsgrid) Building Load Profiles using ResStock and ComStock v2021
This dataset contains simulated hourly end use load profiles of the residential and commercial building sector in the contiguous United States for every other year from 2010 to 2050. Data were produced in 2021 using ResStock and ComStock, which are building stock energy models of ...
Liu, L. et al National Renewable Energy Lab (NREL)
Apr 12, 2021
9 Resources
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9 Resources
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2021 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 ve...
Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)
Jul 12, 2021
11 Resources
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11 Resources
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Next Generation Weather Radar (NEXRAD) Setback (4-km)
The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
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3 Resources
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Next Generation Weather Radar (NEXRAD) Radar Line-of-Sight
The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents a line-of-sight for each radar station. Radar line-of-...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
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3 Resources
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NorthernSTAR Project Overcoat: Exterior Insulation Strategies for 1.5-Story Roof Applications in Cold Climates
This is a repository for all NorthernSTAR Overcoat insulation retrofit projects. Both houses received Overcoat insulation retrofit on roof only, performed by Cocoon Insulation.
1 St. Louis Park house St. Louis Park, MN
2 Edina house Edina, MN
In this second study, the team wishe...
Jacobson, R. et al University of Minnesota NorthernSTAR Building America Partnership
Apr 27, 2016
10 Resources
0 Stars
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10 Resources
0 Stars
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