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Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data
This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183
These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The…
greenhouse gas emissions
ReEDS
Long-run
Marginal emissions
Cambium
NREL
CO2
PLEXOS
Long-run Marginal Emission Rates for Electricity - Workbooks for 2021 Cambium Data
These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the rate of emissions that would be either induced or avoided by a long-term (i.e., more than several…
greenhouse gas emissions
ReEDS
Long-run
Marginal emissions
Cambium
NREL
PLEXOS
Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)
This dataset accompanies the report "Potential Availability of and Supply Curves for Low-Cost, Dispatch-Constrained Electricity", which provides initial estimates of the quantity and availability of the potential low-cost, dispatch-constrained…
curtailment
hydrogen analysis
h2@scale
electricity
electricity use
WIND Toolkit Power Data Site Index
This spreadsheet contains per-site metadata for the WIND Toolkit sites and serves as an index for the raw data hosted on Globus connect (nrel#globus:/globusro/met_data). Aside from the metadata, per site average power and capacity factor are given. This…
NREL
energy
data
wind
Toolkit
power
capacity factor
wind integration
USA
WIND Toolkit Offshore Summary Dataset
This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats:
GDB - Compressed geodatabases…
NREL
energy
data
wind
Toolkit
offshore
United States
geodatabases
GIS
Pacific
Atlantic
Gulf
HD5F
renewable energy
RE
Bureau of Oceanic Energy Management
BOEM
energy system integration
wind integration
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
Medium voltage fault data
This data set contains raw waveforms collected in a setup at 20,000 volts under bolted faults.