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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
Submitted 04/01/2020 - 11:36 by Trevor Stanley

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
Submitted 08/10/2021 - 18:02 by Trevor Stanley

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
Submitted 01/06/2023 - 11:53 by Kumaraguru Prabakar

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
Submitted 01/06/2023 - 11:53 by Kumaraguru Prabakar

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
Submitted 03/22/2023 - 12:11 by Kumaraguru Prabakar

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
Submitted 05/05/2023 - 11:22 by Kumaraguru Prabakar