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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
0 Stars
Publicly accessible

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...

McLing, T. et al Idaho National Laboratory

May 31, 2019
11 Resources
0 Stars
Publicly accessible

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
11 Resources
0 Stars
Publicly accessible

Renewable Electricity Procurement Options Data

The Procurement Analysis Tool (PAT) was developed at NREL to help organizations explore renewable energy options that align with their goals. Users input facility data and answer goal-oriented questions. PAT analyzes this information to identify potential wind, solar, or storage r...

Day, M. National Renewable Energy Laboratory

Nov 12, 2019
5 Resources
0 Stars
Publicly accessible

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
0 Stars
Publicly accessible

National Residential Efficiency Measures Database (REMDB)

This project provides a national unified database of residential building retrofit measures and associated retail prices and end-user might experience. These data are accessible to software programs that evaluate most cost-effective retrofit measures to improve the energy efficien...

Moore, N. et al National Renewable Energy Lab NREL

Sep 29, 2023
5 Resources
0 Stars
Publicly accessible

Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)

This data set shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes.

Nemsow. . et al National Renewable Energy Laboratory

Dec 23, 2024
2 Resources
0 Stars
Publicly accessible

Fuel Cell Inverter Dataset

This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter operation in grid-connected dispatch, islanded load changes, transition from grid-connected mode to islanded mode and vice-...

Prabakar. . et al National Renewable Energy Laboratory

Oct 21, 2024
1 Resources
0 Stars
Publicly accessible

Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...

Buster, G. et al National Renewable Energy Laboratory (NREL)

Apr 19, 2023
7 Resources
2 Stars
Publicly accessible

Altona Field Lab Inverse Model WRR 2020

Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...

Tester, J. Cornell University

Jan 01, 2015
3 Resources
0 Stars
Publicly accessible

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
In curation

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
3 Resources
0 Stars
Publicly accessible

Community Solar Project Database

This database represents a list of community solar projects identified through various sources as of Spring 2018. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the souces e.g. press releases may be duplicated in the list. Blank sp...

O'Shaughnessy. . et al National Renewable Energy Laboratory

Jul 27, 2018
1 Resources
0 Stars
Publicly accessible

Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)

Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes model...

Buster, G. et al National Renewable Energy Lab (NREL)

Oct 16, 2024
2 Resources
0 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
Publicly accessible

U.S. Wind Siting Regulation and Zoning Ordinances

A machine readable collection of documented wind siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (Linked in the submission), National...

Lopez, A. et al National Renewable Energy Laboratory

Jun 30, 2022
5 Resources
1 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...

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

Nov 13, 2017
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)

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

Oct 25, 2019
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

Huggins, J. National Renewable Energy Laboratory (NREL)

Dec 01, 2020
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)

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

Oct 24, 2018
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)

Huggins, J. National Renewable Energy Laboratory (NREL)

Dec 01, 2021
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)

Huggins, J. National Renewable Energy Laboratory (NREL)

Nov 21, 2022
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)

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

Oct 19, 2016
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...

Huggins, J. National Renewable Energy Laboratory (NREL)

Apr 05, 2024
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)

Huggins, J. National Renewable Energy Laboratory (NREL)

Nov 06, 2024
4 Resources
0 Stars
Publicly accessible

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Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Renewable Electricity Procurement Options Data

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

National Residential Efficiency Measures Database (REMDB)

Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)

Fuel Cell Inverter Dataset

Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

Altona Field Lab Inverse Model WRR 2020

Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Community Solar Project Database

Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)

BUTTER Empirical Deep Learning Dataset

U.S. Wind Siting Regulation and Zoning Ordinances

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)