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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
Medium voltage fault data
This data set contains raw waveforms collected in a setup at 20,000 volts under bolted faults.
NREL 25-cm2 High-Pressure Low-Temperature Electrolysis Cell Hardware (Open Source)
This data resource describes an open-source cell hardware that enables low temperature electrolysis (LTE) testing at elevated pressures. Existing commercial options have several downsides when it comes to R&D testing. They are often not designed for…
hydrogen production
water electrolysis
research cell hardware
high pressure low temperature electrolysis
H2NEW
Q1 2023 U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks With Minimum Sustainable Price Analysis Data File
The U.S. Department of Energy's (DOE's) Solar Energy Technologies Office (SETO) aims to accelerate the advancement and deployment of solar technology in support of an equitable transition to a decarbonized economy no later than 2050, starting with a…
solar cost
pv cost
battery system cost
solar plus storage cost
2023 solar cost
2023 battery cost
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
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
Solar Futures Study Databook
The Solar Futures Study explores pathways for solar energy to drive deep decarbonization of the U.S. electric grid and considers how further electrification could decarbonize the broader energy system.
This workbook contains data behind most figures…
solar
rooftop solar
utility-scale solar
concentrating solar power
photovoltaics
energy analysis
Solar Futures Study