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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
Electrification Futures Study Load Profiles
This data set includes hourly load profiles developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand for various scenarios of electrification (Reference, Medium, High) and technology…
NREL
energy
data
electrification
buildings
transportation
industry
Electrification Futures Study
EFS
United States
end-use technologies
electrotechnologies
energy transitions
2050
load profile
Electrification Futures Study Flexible Load Profiles
This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for…
NREL
energy
data
electrification
buildings
transportation
industry
Electrification Futures Study
EFS
United States
end-use technologies
demand-side flexibility
load profile
2020 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies
The 2020 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. The Transportation ATB includes current and projected estimates…
NREL
energy
data
transportation
cost and performance
projection
light-duty vehicle
battery electric vehicle
fuel cell electric vehicle
internal combustion engine vehicle
hybrid electric vehicle
plug-in hybrid electric vehicle
electricity
hydrogen
biofuels
vehicle cost
fuel economy
levelized cost of driving
LCOD
United States
Electrification Futures Study Supply-Side Scenarios Report Figure Data
The file includes the data for figures in the Electrification Futures Study Supply-Side Scenarios report. Additional information on the data can be found in the report:
Murphy, Caitlin, Trieu Mai, Yinong Sun, Paige Jadun, Matteo Muratori, Brent Nelson…
NREL
energy
data
scenario data
Electrification Futures Study
power system
EFS