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IRA Low-Income Community Bonus Credit Program Layers
These geospatial data resources and the linked mapping tool below reflect currently available data on three categories of potentially qualifying Low-Income communities:
1) Census tracts that meet the CDFI's New Market Tax Credit Program's threshold…
Low-Income Communities
IRA ITC Adder
solar energy
wind energy
Screening Tool for Equitable Adoption and Deployment of Solar (STEADy Solar)
The Screening Tool for Equitable Adoption and DeploYment of Solar (STEADy Solar) is a database and mapping tool designed to promoting clean energy investments for low-income communities across the United States. The tool indicates locations that may be…
equitable solar adoption
census tract
Inflation Reduction Act
solar economics
solar site selection
STEADy
commercial solar
Residential Solar
LMI Communities
solar
geospatial
Energy Communities Tax Credit Bonus
Brownfield Properties
Low Income Communities Bonus Credit Program
Multifamily affordable housing
Tribal Land
CEJST
dGen
National Structures Inventory
Renewable Energy Potential model
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
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
Fuel Cell Inverter Dataset
This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter operation in grid-connected dispatch, islanded load changes, transition from grid-connected mode…
Fuel cells
fuel cell inverter
grid-forming fuel cell inverter
grid-following fuel cell inverter
microgrid operation
microgrid controller
artificial intelligence
database for artificial intelligence training
machine learning
database for inverter characterization
database for machine learning
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
This data set shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes.
Fuel cells
fuel cell inverter
grid-following fuel cell inverter
grid-forming fuel cell inverter
microgrid operation
microgrid controller
artificial intelligence
database for artificial intelligence training
machine learning
database for inverter characterization
database for machine learning
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…
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…
electrification
buildings
transportation
industry
Electrification Futures Study
EFS
United States
end-use technologies
demand-side flexibility
load profile