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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
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
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
Block Scale Rooftop Solar Technical Potential for the City of Orlando
The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for…
rooftop solar
parcel scale
solar technical potential
Orlando
PV
building roof area
dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents
Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.
solar
adoption
solar adoption
photovoltaic
PV adoption
agent based model
techno-economic analysis
techno-economic modeling
RiDER
Resilient Planning for Distributed Energy Resources
dGen (Distributed Generation Market Demand) Model Data: Alpha Release
DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section.
Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent…
NREL
energy
data
dGen
Distributed Generation Market Demand Model
adoption
solar adoption
solar
photovoltaic
PV adoption
agent based model
techno-economic modeling
TEA
techno-economic analysis
dGen alpha release
RiDER
Resilient Planning for Distributed Energy Resources
agent based modeling
University of Oregon: GPS-based Precipitable Water Vapor (PWV)
A partnership with the University of Oregon and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect Precipitable Water Vapor (PWV) data to compliment existing resource assessment data collection by the university.
NREL
energy
data
solar energy
wind energy
midc
meteorological
measurement
instrumentation
weather
outdoor
precipitable water vapor
PWV
water column
Oregon