Applied Mathematics

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org
"Non-Stationary Random Process for Large-Scale Failure and Recovery of Power Distribution"
written by Yun Wei, Chuanyi Ji, Floyd Galvan, Stephen Couvillon, George Orellana, James Momoh,
published by Applied Mathematics, Vol.7 No.3, 2016
has been cited by the following article(s):
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[1] Improved quantitative prediction of power outages caused by extreme weather events
Weather and Climate …, 2022
[2] How long is a resilience event in a transmission system?: Metrics and models driven by utility data
arXiv preprint arXiv:2208.06985, 2022
[3] Quantitative analysis of power systems resilience: Standardization, categorizations, and challenges
2021
[4] Extracting Resilience Statistics from Utility Data in Distribution Grids
2020
[5] Weather‐related power outage model with a growing domain: structure, performance, and generalisability
The Journal of …, 2020
[6] Energy Resiliency and Microgrids
Santos, E Rosales-Asensio… - The Future of …, 2020
[7] Weather-related power outage model with a growing domain: structure, performance, and generalisability
2020
[8] Extracting resilience metrics from distribution utility data using outage and restore process statistics
2020
[9] Microgrids with Energy Storage Systems as a Means to Increase Power Resilience: An Application to Office Buildings
2019
[10] A time-dependent model of generator failures and recoveries captures correlated events and quantifies temperature dependence
2019
[11] Adaptive and Restorative Capacity Planning for Complex Infrastructure Networks: Optimization Algorithms and Applications
2018
[12] Adaptive Capacity Planning Formulation for Infrastructure Networks
2018
[13] Resilience of Energy Infrastructure and Services: Modeling, Data Analytics, and Metrics
2017
[14] Resilience of Energy Infrastructure and Services: Modeling, Data Analytics and Metrics
2016
[15] Quantitative Model and Metrics of Electrical Grids' Resilience Evaluated at a Power Distribution Level
Energies, 2016
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