1290-MHz Radar Wind Profiler: Precipitation Moments, operating in high power mode
1290-MHz Radar Wind Profiler: Precipitation Moments, operating in high power mode
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1290-MHz Radar Wind Profiler: Precipitation Moments, operating in high power mode
1290-MHz Radar Wind Profiler: Precipitation Moments, operating in low power mode
1290-MHz Radar Wind Profiler: Wind Moments, operating in low power mode
1290-MHz Radar Wind Profiler: Precipitation Spectra, operating in high power mode
1290-MHz Radar Wind Profiler: Precipitation Spectra, operating in low power mode
1290-MHz Radar Wind Profiler: Wind Spectra, operating in low power mode
This is the atmospheric sounding data using Sparv Windsond S1 lower-atmosphere profiling instruments ( https://sparv.io/products/windsond-s1) . These data are taken weekly (twice weekly and twice daily during the two CoURAGE IOPs in February and July 2025). Lower-atmosphere conditions, generally between the surface and 5km altitude, are recorded. The variables include pressure, height, temperature, dew-point temperature, wind speed, and wind direction.
This is the atmospheric sounding data using Sparv Windsond S1 lower-atmosphere profiling instruments ( https://sparv.io/products/windsond-s1) . These data are taken weekly (twice weekly and twice daily during the two CoURAGE IOPs in February and July 2025). Lower-atmosphere conditions, generally between the surface and 5km altitude, are recorded. The variables include pressure, height, temperature, dew-point temperature, wind speed, and wind direction.
Federal, state, and municipal electric vehicle fleet hourly load datasets at the Uber H3 hex, county, and city resolutions, as described in Singer et al. (2025). Please cite as: Singer, Mark, Cabell Hodge, Kara Podkaminer, and Brennan Borlaug. 2025. Hourly Load Profile Dataset for Federal, State, and Municipal Electric Vehicle Fleets in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-92142. https://www.nlr.gov/docs/fy25osti/92142.pdf
Electric airport ground support equipment (eGSE) hourly annual (8760) load datasets for the top 50 U.S. airports (by enplanements), as described in Liu et al. (2025). Please cite as: Liu, Bo, Kevin Robby, Jayaraj Rane, Adway Das, Kara Podkaminer, and Brennan Borlaug. 2025. Hourly Load Profile Dataset for Electric Airport Ground Support Equipment in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-92139. https://www.nlr.gov/docs/fy25osti/92139.pdf
Electric port cargo handling equipment (eCHE) hourly load datasets for the top 25 U.S. cargo airports (by tonnage), as described in Polemis et al. (2025). Please cite as: Polemis, Katerina, Andrew Kotz, Kara Podkaminer, and Brennan Borlaug. 2025. Hourly Load Profile Dataset for Electric Port Cargo Handling Equipment in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-92141. https://www.nlr.gov/docs/fy25osti/92141.pdf
This tutorial gives an overview of the load profile inputs in the REopt Lite™ web tool.
This tutorial gives an overview of the load profile inputs in the REopt Lite™ web tool.
This study is to provide predictive understanding of the associations of various weather attributes with residential and commercial load profiles, for a variety of climate zones and seasons. In this work, machine learning (ML) approaches were used to identify and quantify the impacts of various weather attributes on residential and commercial electricity demand and its components across the western United States. Performance and transferability of the developed ML models were then evaluated across different temperate zones (e.g., southern, middle, and northern US) and across coastal, mid-continent, and wet zones, with inputs of weather condition data from the National Oceanic and Atmospheric Administration (NOAA) at representative weather stations. The predictive models were developed based on the ranked/screened factors using the regression tree (RT) and random forest (RF) approaches, for five different scenarios (seasons).
This presentation summarizes the items discussed during the End-Use Load Profiles for the U.S. Building Stock: Technical Advisory Group Meeting #4 on September 20, 2019.
This presentation summarizes the items discussed during the End-use Load Profiles for the U.S. Building Stock: Technical Advisory Group Meeting #5 on December 17, 2019.
This presentation summarizes the items discussed during the End-use Load Profiles for the U.S. Building Stock: Technical Advisory Group Meeting #9 on January 28, 2021.
This presentation summarizes the items discussed during the End-use Load Profiles for the U.S. Building Stock: Technical Advisory Group Meeting #10 on April 21–22, 2021.