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Enhancing power distribution network operational resilience to extreme wind events
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/wea.2907openalex-snapshot
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Addressing ‘deep’ uncertainty over long-term climate in major infrastructure projects: four innovations of the Thames Estuary 2100 Project
inferredcites →https://doi.org/10.1016/j.crm.2022.100412openalex-snapshot
Consequence forecasting: A rational framework for predicting the consequences of approaching storms
inferredcites →https://doi.org/10.1016/j.energy.2020.119434openalex-snapshot
Major impacts of weather events on the electrical power delivery system in the United States
inferredcites →https://doi.org/10.1016/j.engfailanal.2016.09.007openalex-snapshot
Seismic failure probability of a 400kV power transformer using analytical fragility curves
inferredcites →https://doi.org/10.1016/j.engstruct.2006.06.026openalex-snapshot
Probabilistic fragility analysis parameterized by fundamental response quantities
inferredcites →https://doi.org/10.1017/s1350482799001103openalex-snapshot
A review of methods to calculate extreme wind speeds
inferredcites →https://doi.org/10.1038/ngeo2253openalex-snapshot
Atmospheric circulation as a source of uncertainty in climate change projections
inferredcites →https://doi.org/10.1038/s41586-020-2649-2openalex-snapshot
Array programming with NumPy
inferredcites →https://doi.org/10.1038/s41592-019-0686-2openalex-snapshot
SciPy 1.0: fundamental algorithms for scientific computing in Python
inferredcites →https://doi.org/10.1061/(asce)nh.1527-6996.0000267openalex-snapshot
Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database
inferredcites →https://doi.org/10.1061/9780784412916openalex-snapshot
Minimum Design Loads for Buildings and Other Structures
inferredcites →https://doi.org/10.1088/1748-9326/aabf78openalex-snapshot
Changes in European wind energy generation potential within a 1.5 °C warmer world
inferredcites →https://doi.org/10.1098/rspa.2019.0013openalex-snapshot
Storyline approach to the construction of regional climate change information
inferredcites →https://doi.org/10.1109/mcse.2007.55openalex-snapshot
Matplotlib: A 2D Graphics Environment
inferredcites →https://doi.org/10.1109/pmaps.2014.6960641openalex-snapshot
Wind related faults on the GB transmission network
inferredcites →https://doi.org/10.1109/tpwrs.2016.2641463openalex-snapshot
Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures
inferredcites →https://doi.org/10.1109/tpwrs.2019.2945316openalex-snapshot
Identifying Optimal Portfolios of Resilient Network Investments Against Natural Hazards, With Applications to Earthquakes
inferredcites →https://doi.org/10.1243/09544097jrrt292openalex-snapshot
The future cost to the United Kingdom's railway network of heat-related delays and buckles caused by the predicted increase in high summer temperatures owing to climate change
inferredcites →https://doi.org/10.21105/joss.03021openalex-snapshot
seaborn: statistical data visualization
inferredcites →https://doi.org/10.21236/ada525580openalex-snapshot
Beyond the Factor of Safety: Developing Fragility Curves to Characterize System Reliability
inferredcites →https://doi.org/10.25080/majora-92bf1922-00aopenalex-snapshot
Data Structures for Statistical Computing in Python
inferredcites →https://doi.org/10.25080/majora-92bf1922-011openalex-snapshot
Statsmodels: Econometric and Statistical Modeling with Python
inferredcites →https://doi.org/10.3390/infrastructures3020010openalex-snapshot
Adaptation Becoming Business as Usual: A Framework for Climate-Change-Ready Transport Infrastructure
inferredcites →https://doi.org/10.3403/30351696openalex-snapshot
Adaptation to climate change. Principles, requirements and guidelines
inferredcites →https://doi.org/10.5281/zenodo.1182735openalex-snapshot
SciTools/cartopy: Cartopy 0.18.0
inferredcites →https://doi.org/10.6028/nbs.ir.74-602openalex-snapshot
Efficient methods of extreme-value methodology
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Estimation of extreme wind speeds with different return periods in the Northwest Pacific
inferred← citeshttps://doi.org/10.1016/j.crm.2026.100872openalex-snapshot
Climate resilience of energy distribution networks: key requirements for evidence-based adaptation in Great Britain
inferred← citeshttps://doi.org/10.1016/j.epsr.2026.114023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rineng.2025.106162openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.seta.2025.104748openalex-snapshot
Resilient microgrid operation under adverse weather conditions with deep reinforcement learning
inferred← citeshttps://doi.org/10.1038/s41598-026-37040-wopenalex-snapshot
Data-driven quantification and visualization of resilience metrics of power distribution systems
inferred← citeshttps://doi.org/10.1109/epdc67173.2025.11278334openalex-snapshot
A Sensitivity-Driven Optimization Framework for EV Parking Planning in Distribution Networks: A Holistic Approach to Grid Performance Enhancement
inferred← citeshttps://doi.org/10.1109/icredg66184.2025.10966116openalex-snapshot
Dynamic Reconfiguration of Network Structure and Connected Microgrids for Resilience Enhancement Under Storm Conditions
inferred← citeshttps://doi.org/10.1109/isgtmiddleeast65737.2025.11314220openalex-snapshot
Resilience Curves to Quantify the Impact of Severe Weather Events on Electricity Distribution Networks in the United Kingdom
inferred← citeshttps://doi.org/10.1109/pesgm58988.2026.11693233openalex-snapshot
Topology and Voltage Aware Fragility and Data-Driven Risk Modeling of Distribution Feeders
inferred← citeshttps://doi.org/10.1109/sest67798.2026.11712432openalex-snapshot
Impacts of Compound Winter Weather on Distribution Network Outages
inferred← citeshttps://doi.org/10.1109/tpwrs.2023.3342729openalex-snapshot
Towards Using Utility Data to Quantify How Investments Would Have Increased the Wind Resilience of Distribution Systems
inferred← citeshttps://doi.org/10.1175/wcas-d-23-0115.1openalex-snapshot
Extreme Weather Events and the Energy Sector in 2021
inferred← citeshttps://doi.org/10.1680/jcien.23.00115openalex-snapshot
Weather-related fragility modelling of critical infrastructure: a power and railway case study
inferred← citeshttps://doi.org/10.4108/ew.3906openalex-snapshot
Power Outage Fault Judgment Method Based on Power Outage Big Data
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