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DEPRECATED: 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…
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
NREL HPC Eagle Jobs Data
Three months of Eagle jobs data including Slurm metadata and derived power use characterization.
HPC
node usage
processors
Eagle
Opportunities for Solar for Industrial Process Heat in the United States
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
solar industrial process heat
heat pumps
PV
technical potential
concentrating solar power
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
Status and Trends in the U.S. Voluntary Green Power Market (2021 Data)
This data book provides certain data behind figures and tables found in the NREL presentation "Status and Trends in the Voluntary Market (2021 Data)." These data reflect estimates based on the best available data.
Excluded Data
This data book…
voluntary market
green power
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
A dataset of cyber-induced mechanical faults on buildings with network and buildings data
We have collected data of cyber-induced mechanical faults on buildings using a simulation platform. A DOE reference building model was used for running the simulation under a Rogue device attack and collected the network data as well as the physical…
smart buildings
Bacnet
cyber-induced faults
cyber security
simulation
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
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
database for model validation
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