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Federal
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)
Department of Energy —
This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, provides average residential,... -
Federal
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)
Department of Energy —
This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861... -
Federal
Low-Income Energy Affordability Data - LEAD Tool - 2022 Update
Department of Energy —
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state... -
Federal
Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States
Department of Energy —
Note: This dataset has been superseded by the dataset found at "End-Use Load Profiles for the U.S. Building Stock" (submission 4520; linked in the submission... -
Federal
ARPA-E Grid Optimization (GO) Competition Challenge 3
Department of Energy —
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... -
Federal
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)
Department of Energy —
This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861... -
Federal
Utah FORGE: Well 56-32 Drilling Data and Logs
Department of Energy —
This dataset consists of drilling data (Pason data spreadsheets, daily reports, days v. depth, mud logs), Schlumberger logs (FMI, shear anisotropy analysis, memory,... -
Federal
Dynamically Downscaled Hourly Future Weather Data with 12-km Resolution Covering Most of North America
Department of Energy —
This is an hourly future weather dataset for energy modeling applications. The dataset is primarily based on the output of a regional climate model (RCM), i.e., the... -
Federal
2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
Department of Energy —
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV),... -
Federal
Utah FORGE: 2D and 3D Seismic Data
Department of Energy —
This set of data contains raw and Initially-processed 2D and 3D seismic data from the Utah FORGE study area near Roosevelt Hot Springs. Reprocessed versions of these... -
Federal
Utah FORGE: Well 16A(78)-32 Drilling Data
Department of Energy —
This dataset includes survey data, drilling data, daily reports, summaries of daily operations, and rig photos from the drilling of Utah FORGE well 16A(78)-32, which... -
Federal
Low-Income Energy Affordability Data - LEAD Tool - 2018 Update
Department of Energy —
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state... -
Federal
Utility-Scale Solar, 2024 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Department of Energy —
Berkeley Labs "Utility-Scale Solar", 2024 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery,... -
Federal
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
Department of Energy —
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... -
Federal
Fallon FORGE: Well Data, Geophysical Data, and Geologic Maps
Department of Energy —
The data is associated to the Fallon FORGE project and includes mudlogs for all wells used to characterize the subsurface, as wells as gravity, magnetotelluric,... -
Federal
Distributed Acoustic Sensing Experiment Data from Garner Valley, California
Department of Energy —
In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara... -
Federal
Fish Detection AI, Optic and Sonar-trained Object Detection Models
Department of Energy —
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite...