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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

MASK4 Test Campaign for Sandia WaveBot Device Dataset

This data and report details the findings from a wave tank test focused on production of useful work of a wave energy converter (WEC) device. The experimental system and test were specifically designed to validate models for power transmission throughout the WEC system. Additional...

Forbush, D. et al Sandia National Laboratories

Dec 25, 2023
5 Resources
0 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

Long-Run Marginal Emission Rates for Electricity Workbooks for 2022 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could ...

Gagnon. . et al National Renewable Energy Laboratory

Jan 15, 2023
2 Resources
0 Stars
Publicly accessible

NWEI Azura February 2018 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing spe...

Lettenmaier, T. Northwest Energy Innovations

May 11, 2018
5 Resources
0 Stars
Publicly accessible

Azura Advanced Controls 1/15th Scale Wave Tank Testing

Experimental data from the wave tank test of the Advanced control systems developed by Northwest Energy Innovations (NWEI) for the Azura at the University of Maine in Orono (UMO). Summary data is included utilizing the WEC Lab Testing Content Model v2.1. All raw and processed expe...

Ling, B. Northwest Energy Innovations

Feb 02, 2018
10 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

Evaluation of the Performance of Houses With and Without Supplemental Dehumidification in a Hot-Humid Climate

Understanding indoor humidity conditions in low energy homes in hot-humid climates is critical to promoting long term occupant comfort, indoor air quality and building durability. The results of this study were expected to inform the residential building community on whether suppl...

Kerrigan, P. and Norton, P. National Renewable Energy Laboratory

Apr 27, 2016
7 Resources
0 Stars
Publicly accessible

NWEI Azura July 2015 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing sp...

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
8 Resources
0 Stars
Publicly accessible

NWEI Azura March 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Mar 31, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura May 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Jun 07, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura June 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Aug 31, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura November 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 07, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura August 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Oct 14, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura September 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Oct 15, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura Sept 2015 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
8 Resources
0 Stars
Publicly accessible

Centipod WEC, Advanced Controls, Baseline LCOE

Project baseline levelized cost of energy (LCOE) model for the Centipod WEC containing annual energy production (AEP) data, a cost breakdown structure (CBS), model documentation, and the LCOE content model. This baseline was built for comparison with the resultant LCOE model, buil...

McCall, A. Dehlsen Associates, LLC

Feb 15, 2016
7 Resources
0 Stars
Publicly accessible

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

MASK4 Test Campaign for Sandia WaveBot Device Dataset

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)

Long-Run Marginal Emission Rates for Electricity Workbooks for 2022 Cambium Data

NWEI Azura February 2018 Data

Azura Advanced Controls 1/15th Scale Wave Tank Testing

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

Evaluation of the Performance of Houses With and Without Supplemental Dehumidification in a Hot-Humid Climate

NWEI Azura July 2015 Data

NWEI Azura March 2016 Data

NWEI Azura May 2016 Data

NWEI Azura June 2016 Data

NWEI Azura November 2016 Data

NWEI Azura August 2016 Data

NWEI Azura September 2016 Data

NWEI Azura Sept 2015 Data

Centipod WEC, Advanced Controls, Baseline LCOE