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University of Louisiana at Lafayette
A partnership with the University of Louisiana and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global,…
NREL
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
wind rose
display
weather
outdoor
global
direct
diffuse temperature
humidity
wind
pressure
precipitation
thermopile
pyranometer
radiometer
University of Florida
A partnership with the University of Florida and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct…
NREL
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
wind rose
display
weather
outdoor
global
direct
diffuse temperature
humidity
wind
pressure
precipitation
thermopile
pyranometer
radiometer
Assessing Total Cost of Driving Competitiveness of Zero-Emission Trucks
This file includes supporting data on modeled medium and heavy-duty vehicle (MHDV) stock, sales, energy consumption, greenhouse gas (GHG) emissions, and total cost of driving (TCD) for the scenarios presented in "Assessing Total Cost of Driving…
electric vehicles
medium-duty vehicles
heavy-duty vehicles
zero-emission vehicles
TEMPO model
Medium voltage fault data
This data set contains raw waveforms collected in a setup at 20,000 volts under bolted faults.
PV inverter experimental dataset version 2 with 100 percent power
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter
Split phase inverter data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the…
split phase inverter
PV inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
data base for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)
This dataset accompanies the report "Potential Availability of and Supply Curves for Low-Cost, Dispatch-Constrained Electricity", which provides initial estimates of the quantity and availability of the potential low-cost, dispatch-constrained…
curtailment
hydrogen analysis
h2@scale
electricity
electricity use
PV inverter experimental data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter
Battery inverter experimental data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We…
battery inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
Heavy-Duty Electric Fleet Depot Charging Load Profiles & Substation Load Integration Assessment Results
This data set includes the 24-hour fleet depot charging load profiles (15-min. average demand) and substation load integration assessment results produced for the study, "Heavy-Duty Truck Electrification and the Impacts of Depot Charging on Electricity…
heavy-duty vehicles
electric vehicle
EV-grid integration
distribution systems
charging
NREL
energy
data