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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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This dataset contains flight arrival data for each airport, which serves as the input for generating load profiles and estimating energy needs and fleet and charger requirements.  Distribution of annual flight arrivals across different airport categories.
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
NextGen Profiles' EV profile capture efforts aimed to explore the variance in performance and evaluate how different operational conditions influence production EV charging behavior. Data were collected at a frequency of 10 Hz from both the EV and EVSE during each charge session. These charge session parameters were then entered into a time-series database for further analysis. The data were gathered under different operational conditions to examine the effects of various factors such as battery state of charge, battery temperature, vehicle condition, smart charge management, and EVSE limitations. The EV profile capture dataset includes extensive high-power charging data from 16 different EVs—comprising light-, medium-, and heavy-duty vehicles—along with EVSE from various suppliers. To protect confidentiality, the EV and EVSE metadata are anonymized, and the publicly released datasets are aggregated to 0.1-Hz frequency.