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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
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
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Note: This dataset has been superseded by the dataset found at "End-Use Load Profiles for the U.S. Building Stock" (submission 4520; linked in the submission...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
2023 National Offshore Wind data set (NOW-23)
Department of Energy —
The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore... -
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... -
Federal
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)
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
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
ARPA-E Grid Optimization (GO) Competition Challenge 2
Department of Energy —
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap... -
Federal
ARPA-E Grid Optimization (GO) Competition Challenge 1
Department of Energy —
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a... -
Federal
Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value
Department of Energy —
Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level... -
Federal
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)
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
Crude Oil Analysis (COA) Database
Department of Energy —
The Crude Oil Analysis (COA) database contains the digital data compilation of 9,076 crude oil analyses from samples collected from 1920 through 1983 from the United... -
Federal
GEO2D - Two-Dimensional Computer Model of a Ground Source Heat Pump System
Department of Energy —
This file contains a zipped file that contains many files required to run GEO2D. GEO2D is a computer code for simulating ground source heat pump (GSHP) systems in... -
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
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Department of Energy —
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells...