-
Federal
Photovoltaic Data Acquisition (PVDAQ) Public Datasets
Department of Energy —
The NREL PVDAQ is a large-scale time-series database containing system metadata and performance data from a variety of experimental PV sites and commercial public PV... -
Federal
2024 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
Department of Energy —
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... -
Federal
U.S. Wind and Solar PV Supply Curves with Future Land-use Change
Department of Energy —
This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous... -
Federal
Buildings Sector Scenarios (BSS)
Department of Energy —
The Buildings Sector Scenarios (BSS) dataset establishes and simulates a plausible range of scenarios for U.S. buildings sector development between now and 2050 with... -
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
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
Department of Energy —
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... -
Federal
Wind and Structural Loads on Heliostats
Department of Energy —
Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats. These structures must resist the... -
State
Health & Human Services Program Counts - Dashboard & Record Reconciliation
State of California —
Introduction ## California Health and Human Services (CalHHS) single and multi-program participation counts with demographics by year and geography, both the Annual... -
Federal
2023 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
Department of Energy —
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... -
Federal
End-Use Load Profiles for the U.S. Building Stock
Department of Energy —
The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One... -
Federal
2021 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
Department of Energy —
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... -
Federal
Data From: Gamma-Spectroscopy Method for Soil Water Content Estimation in an Agricultural Field
Department of Agriculture —
Gamma-ray spectroscopy (GRS) enables continuous estimation of soil water content (SWC) at the subfield scale with a noninvasive sensor. Hydrological applications,... -
Federal
Distributed Generation Market Demand (dGen) model
Department of Energy —
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial... -
Federal
Programs and Code for Geothermal Exploration Artificial Intelligence
Department of Energy —
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from... -
State
Medi-Cal Managed Care Capitation Rates by Managed Care Plan Models
State of California —
The datasets contain reimbursement rates paid to participating County Organized Health Systems, Geographic Managed Care, Regional, Senior Care Act (SCAN), Single... -
Federal
BUTTER - Empirical Deep Learning Dataset
Department of Energy —
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen... -
Federal
2022 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
Department of Energy —
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...