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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
Duke Energy Carbon-Free Resource Integration Study
Supporting data for the Phase 2 of the Duke Energy Carbon-Free Resource Integration Study, which studied pathways to meeting emissions reduction targets in the Carolinas. The data sets include results from two modeling components of the study: capacity…
Duke Energy
North Carolina
Southeast
carbon-free
capacity expansion
ReEDS
production cost
PLEXOS