Quantitative Resilience-Based Assessment Framework Using EAGLE-I Power Outage Data
Author:
Affiliation:
1. Department of Electrical and Biomedical Engineering, University of Nevada, Reno, Reno, NV, USA
2. National Renewable Energy Laboratory, Golden, CO, USA
Funder
U.S. National Science Foundation
National Renewable Energy Laboratory (NREL), operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy
Laboratory Directed Research and Development (LDRD) Program at NREL
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/6287639/10005208/10012344-aam.pdf
Reference36 articles.
1. State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies
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3. Toward a Consensus on the Definition and Taxonomy of Power System Resilience
4. Large-scale data analysis of power grid resilience across multiple US service regions
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