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OPFLearnData: Dataset for Learning AC Optimal Power Flow

The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to t...

Joswig-Jones. . et al National Renewable Energy Laboratory

Oct 26, 2021
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
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Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Test Data and Processing

This dataset contains experimental results from testing the Halona wave energy converter (WEC) in both fixed and floating configurations. This dataset reflects a 1/10th scale omnidirectional spar buoy oscillating water column (OWC) device, designed to improve platform stability fo...

Ulm, N. et al University of Hawaii at Manoa

Mar 01, 2021
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NREL GIS Data: Continental United States Photovoltaic Low Resolution Collector Data Files

_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states _Purpose:_ Provide information on the solar resource potential for the lower 48 states. The insolation values represent the average solar energy available to a horizontal flat plate co...

Wood, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
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In curation

NREL GIS Data: U.S. Atlantic Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...

Wood, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Fish Detection AI, Optic and Sonar-trained Object Detection Models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
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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
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INGENIOUS Great Basin Regional Dataset Compilation

This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while re...

Ayling, B. et al GBCGE, NBMG, UNR

Jun 30, 2022
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UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary

This data was collected between October 12 and December 15 of 2021 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). This data set includes over 29 days of grid connected turbine operation during this 65 day time f...

Wosnik, M. et al National Renewable Energy Laboratory

Dec 21, 2021
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Supporting Data for "Photolytic Activation of Ni(II)X2L Explains How Ni-Mediated Cross Coupling Begins"

Data files associated with Nature Communications publication titled "Photolytic Activation of Ni(II)X2L Explains How Ni-Mediated Cross Coupling Begins."

Kudisch. . et al National Renewable Energy Laboratory

May 21, 2025
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