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Demand-Side Grid (dsgrid) Highly-resolved, Long-term Energy Demand Projections for the Contiguous United States: DECARB Scenarios
Input and compiled datasets describing projected energy use by sector and for the power sector as a whole. Data are developed by a multi-national lab team as part of the U.S. Department of Energy (DOE) Energy Efficiency and Renewable Energy (EERE) Office's DECARB project.
Hale, E. et al National Renewable Energy Laboratory
Jul 01, 2024
2 Resources
0 Stars
In progress
2 Resources
0 Stars
In progress
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
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
2022 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
These data provide the 2022 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products ...
Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)
Jun 01, 2022
14 Resources
0 Stars
Publicly accessible
14 Resources
0 Stars
Publicly accessible
Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications
Many weather years of high-quality wind data are widely accepted in the grid integration community to be important for studying wind energy technical potential, energy system operations, and grid resilience.
NREL makes high-quality wind and solar resource data available. NREL's G...
Buster, G. et al The National Renewable Energy Lab (NREL)
Oct 15, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
2023 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
These data provide the 2023 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products ...
Mirletz, B. et al National Renewable Energy Laboratory (NREL)
Jun 09, 2023
13 Resources
0 Stars
Publicly accessible
13 Resources
0 Stars
Publicly accessible
Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)
This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api a...
Hale, E. et al National Renewable Energy Laboratory
Jul 08, 2018
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
2024 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
These data provide the 2024 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products ...
Mirletz, B. et al National Renewable Energy Laboratory (NREL)
Jun 24, 2024
11 Resources
0 Stars
Curated
11 Resources
0 Stars
Curated
County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017
The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a uni...
McMillan, C. et al National Renewable Energy Laboratory (NREL)
Jul 01, 2024
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
ResStock: Annual Baseline Results with Component Loads
The ResStock Analysis Tool was developed by NREL with support from the U.S. Department of Energy to provide a new approach to large-scale residential analysis by combining large public and private data sources, statistical sampling, detailed sub hourly building simulations, and hi...
Speake, A. et al National Renewable Energy Lab
Mar 03, 2023
6 Resources
0 Stars
Curated
6 Resources
0 Stars
Curated
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
11 Resources
0 Stars
Publicly accessible
PNNL Distribution System State Estimator Docker Image
This is the docker image for Pacific Northwest National Laboratory's (PNNL) distribution system state estimator (DSSE) used for the demo of OEDI-SI platform. To support the operation of modern distribution systems, operators require real-time visibility into system states. Due to ...
Bhatti, B. et al Pacific Northwest National Laboratory
Jul 10, 2023
6 Resources
2 Stars
Curated
6 Resources
2 Stars
Curated
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
Curated
9 Resources
1 Stars
Curated
Deep Direct-Use Feasibility Study Economic Analysis using GEOPHIRES for West Virginia University
This dataset contains all the inputs used and output produced from the modified GEOPHIRES for the economic analysis of base case hybrid GDHC system, improved hybrid GDHC system with heat pump and for hot water GDHC.
Software required: Microsoft Notepad, Microsoft Excel and GEOPHI...
Garapati, N. West Virginia University
Jan 09, 2020
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
National Solar Radiation Database (NSRDB)
The National Solar Radiation Database (NSRDB) is a serially complete collection of meteorological and solar irradiance data sets for the United States and a growing list of international locations for 1998-2023. The NSRDB is updated annually and provides foundational information t...
Sengupta, M. et al National Renewable Energy Laboratory
Sep 28, 2018
7 Resources
2 Stars
Curated
7 Resources
2 Stars
Curated
Hourly Dynamic Line Ratings for Existing Transmission Across the Contiguous United States (Preliminary)
This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in...
Obika, K. et al National Renewable Energy Laboratory
Sep 25, 2024
16 Resources
0 Stars
Curated
16 Resources
0 Stars
Curated
Imperial Valley Dark Fiber Project Continuous DAS Data
The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecomm...
Ajo-Franklin, J. et al Lawrence Berkeley National Laboratory
Nov 10, 2020
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
The BuildingsBench datasets consist of:
Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock.
7 real residential and com...
Emami, P. and Graf, P. National Renewable Energy Laboratory
Dec 31, 2018
6 Resources
0 Stars
Publicly accessible
6 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
6 Resources
0 Stars
Publicly accessible
AlphaBuilding Synthetic Buildings Operation Dataset
This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...
Li, H. et al Lawrence Berkeley National Laboratory
Dec 21, 2020
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
WaterTAP3 Model Results for NAWI's Baseline Analyses
Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for ...
Miara, A. et al National Renewable Energy Laboratory
Feb 01, 2022
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
WaterTAP3 Model Input Data for NAWI's Eight Source Water Baseline Analyses
This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities ...
Miara, A. et al National Renewable Energy Laboratory
Feb 01, 2022
16 Resources
0 Stars
Publicly accessible
16 Resources
0 Stars
Publicly accessible
Linearized Distribution Optimal Power Flow for OEDI SI
This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage...
Sadnan, R. et al Pacific Northwest National Laboratory
Oct 03, 2023
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data
This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Feigl, K. et al University of Wisconsin
Mar 29, 2016
18 Resources
0 Stars
Publicly accessible
18 Resources
0 Stars
Publicly accessible