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OPFLearnData: Dataset for Learning AC Optimal Power Flow
The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF…
power system
load profile
machine learning
optimal power flow
nonlinear optimization
Grid Connected Functionality
Dataset demonstrating the potential benefits that residential buildings can provide for frequency regulation services in the electric power grid. In a hardware-in-the-loop (HIL) implementation, simulated homes along with a physical laboratory home are…
NREL
energy
data
frequency regulation
building-to-grid
home energy management
volttron
aggregator
connected appliances
Energy Systems Integration Facility
ESIF
Golden
colorado
electricity
power grid
residential buildings
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
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
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 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
Rotating Shadowband Radiometer (RSR) Data for La Ola Lanai, Hawaii
The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
wind rose
display
weather
outdoor
global
direct
diffuse
temperature
humidity
wind
pressure
precipitation
silicon
rotating
shadowband
pyranometer
radiometer
rsr
rsp
solar energy
renewable energy
RE
La Ola Lanai
Hawaii
Solar Radiation Monitoring Station (SoRMS): Humboldt State University, Arcata, California (Data)
A partnership with HSU 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 horizontal, direct normal,…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
display
weather
outdoor
global
direct
diffuse
thermopile
pyranometer
radiometer
solar energy
renewable energy
RE
Humboldt State University
California
Arcata
solar power
Rotating Shadowband Radiometer (RSR) Data from SOLRMAP Escalante Tri-State - Prewitt, New Mexico
The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
display
weather
outdoor
global
direct
diffuse
temperature
humidity
wind
pressure
precipitation
silicon
rotating
shadowband
pyranometer
radiometer
rsr
rsp
solar energy
renewable energy
RE
Escalante Tri-State
Prewitt
New Mexico
Solar Resource and Meteorological Assessment Project (SOLRMAP): Sun Spot Two Data for Swink, Colorado
The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
wind rose
display
weather
outdoor
global
direct
diffuse
temperature
humidity
wind
pressure
precipitation
silicon
rotating
shadowband
pyranometer
radiometer
rsr
rsp
solar energy
renewable energy
RE
Swink
colorado
Sun Spot Two