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

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

Oct 25, 2019
4 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

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. National Renewable Energy Laboratory (NREL)

Dec 01, 2020
4 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)

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

Oct 24, 2018
4 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)

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. National Renewable Energy Laboratory (NREL)

Dec 01, 2021
4 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)

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. National Renewable Energy Laboratory (NREL)

Nov 21, 2022
4 Resources
0 Stars
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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
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)

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)

Nov 06, 2024
4 Resources
0 Stars
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TEAMER: Electrically Engaged Undulation (EEL) System

The Electrically Engaged UnduLation (EEL) system is a buoyancy-driven submersible device for powering oceanographic instruments. Physically, EEL is a slender body whose flexible spine is made up of energy units interconnected by uniaxial hinges. Each unit consists of a pair of pie...

Lu, K. Pyro-E

Dec 01, 2021
2 Resources
0 Stars
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EGS Collab Experiment 3: 4100 Tensile Stimulation and Thermal Circulation Testing

These data and test descriptions are from a set of primarily tensile hydraulic-fracture stimulations in wells E2-TC and E2-TU and a subsequent chilled water circulation test conducted by injecting in well E2-TU on the 4100 level of the Sandford Underground Research Facility (SURF)...

Vermeul, V. et al Pacific Northwest National Laboratory

Aug 26, 2022
4 Resources
0 Stars
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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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Bouira University Digital Space

Description archive of our university and/or Remarks: The University of Bouira offers visitors from Bouira University Digital Space a free downloadable files (memories doctoral, master, master, courses in different technological and literary disciplines, proceedings of scientif...

Chettabi, . National Renewable Energy Laboratory

Jan 08, 2000
1 Resources
0 Stars
In curation

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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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
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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
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In-Situ Blade Strain Measurements of a Crossflow Turbine Operating in a Tidal Flow

This data was collected between October 25 and December 12 of 2022 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). The goal was to collect blade strain data from a crossflow turbine operating in a tidal flow. A t...

Bharath, A. et al National Renewable Energy Laboratory

Dec 16, 2022
17 Resources
0 Stars
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk : FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal...

A., T. Lawrence Livermore National Laboratory

Jan 01, 2012
7 Resources
0 Stars
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk : FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal...

A., T. Lawrence Livermore National Laboratory

Jan 01, 2012
7 Resources
0 Stars
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JodiOil World Database (Jan 2002 Jan 2011)

The JodiOil World Database is freely available from the [Joint Organisations Data Initiative (JODI)](http://www.jodidata.org/ "JODI website") and is updated on or around the 20th of each month. The database consists of: _Seven product categories_ (crude oil, LPG, gasoline, kerosen...

Hallett, K. and JODI, . National Renewable Energy Laboratory

Sep 30, 2004
4 Resources
0 Stars
In curation

Coalbed Methane Resources in the Powder River Basin: Lithologic Data

The USGS investigated coalbed methane (CBM) resources in the Powder River Basin (WY) and adjacent basins in Wyoming and North Dakota. Specifically, the analysis looked at: total gas desorbed, coal quality, and high-pressure methane adsorption isotherm data from 963 cored coal samp...

Hallett, K. and USGS, . National Renewable Energy Laboratory

Sep 29, 2010
2 Resources
0 Stars
In curation

HERO WEC V1.0 Electrical PTO Deployment Data and Analysis

This submission includes the processed and raw field electrical data from NREL's August 2022 HERO WEC (hydraulic and electric reverse osmosis wave energy converter) deployment at Jennette's Pier for the electrical PTO (power take-off).

Nakhai, A. et al National Renewable Energy Laboratory

Aug 12, 2022
4 Resources
0 Stars
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Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

This is a final report summarizing a two-year (2014-16) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and ...

E. Jordan, T. Cornell University

Nov 18, 2015
12 Resources
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Appalachian Basin Play Fairway Analysis Thermal Risk Factor and Quality Analyses

*This submission revises the analysis and products for Thermal Quality Analysis for the northern half of the Appalachian Basin (https://gdr.openei.org/submissions/638)* This submission is one of five major parts of a Low Temperature Geothermal Play Fairway Analysis. Phase 1 of the...

Jordan, T. Cornell University

Aug 02, 2016
2 Resources
0 Stars
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Randomized Hourly Load Data for use with Taxonomy Distribution Feeders

This dataset was developed by NREL's distributed energy systems integration group as part of a study on high penetrations of distributed solar PV [1]. It consists of hourly load data in CSV format for use with the PNNL taxonomy of distribution feeders [2]. These feeders were deve...

Hoke, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
1 Stars
In curation

Open Water Rate Specification

This repository documents the Open Water Rate Specification (OWRS), a machine-readable format for specifying and sharing water rate information. OWRS is designed for analysts, economists, and software developers interested in analyzing water rates. OWRS attempts to fully encode a ...

Data Collaborative, C. California Data Collaborative

Mar 01, 2016
5 Resources
0 Stars
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Turbine Depth Optimization Study, Admiralty Inlet, WA

The zipped file contains a directory of data and routines used in the NNMREC turbine depth optimization study (Kawase et al., 2011), and calculation results thereof. For further info, please contact Mitsuhiro Kawase at kawase@uw.edu.

Kawase, M. et al University of Washington

Nov 22, 2009
2 Resources
0 Stars
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