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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies
This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it…
power system
graph theory
topological data analysis
simulation
machine learning
resilience
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