Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Metrics and enhancement strategies for grid resilience and reliability during natural disasters

E Hossain, S Roy, N Mohammad, N Nawar, DR Dipta - Applied energy, 2021 - Elsevier
The rise in power shutdowns triggered by severe weather due to deteriorating climate
change has expedited the research in enhancing community resilience. Several researchers …

Machine learning for risk and resilience assessment in structural engineering: Progress and future trends

X Wang, RK Mazumder, B Salarieh… - Journal of Structural …, 2022 - ascelibrary.org
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …

A multi-hazard approach to assess severe weather-induced major power outage risks in the us

S Mukherjee, R Nateghi, M Hastak - Reliability Engineering & System …, 2018 - Elsevier
Severe weather-induced power outages affect millions of people and cost billions of dollars
of economic losses each year. The National Association of Regulatory Utility Commissioners …

[HTML][HTML] Storm-based probabilistic hail forecasting with machine learning applied to convection-allowing ensembles

DJ Gagne, A McGovern, SE Haupt… - Weather and …, 2017 - journals.ametsoc.org
Forecasting severe hail accurately requires predicting how well atmospheric conditions
support the development of thunderstorms, the growth of large hail, and the minimal loss of …

[HTML][HTML] Improved quantitative prediction of power outages caused by extreme weather events

PL Watson, A Spaulding, M Koukoula… - Weather and Climate …, 2022 - Elsevier
Power outages caused by extreme weather events cost the economy of the United States
billions of dollars every year and endanger the lives of the people affected by them. These …

Predicting hurricane power outages to support storm response planning

SD Guikema, R Nateghi, SM Quiring, A Staid… - Ieee …, 2014 - ieeexplore.ieee.org
Hurricanes regularly cause widespread and prolonged power outages along the US
coastline. These power outages have significant impacts on other infrastructure dependent …

Predicting storm outages through new representations of weather and vegetation

D Cerrai, DW Wanik, MAE Bhuiyan, X Zhang… - IEEE …, 2019 - ieeexplore.ieee.org
This paper introduces new developments in an outage prediction model (OPM) for an
electric distribution network in the Northeastern United States and assesses their …

Damage modeling framework for resilience hardening strategy for overhead power distribution systems

W Hughes, W Zhang, AC Bagtzoglou, D Wanik… - Reliability Engineering & …, 2021 - Elsevier
Several disastrous storms, such as Hurricane Sandy in 2012, that brought massive area
power outages for several days and even weeks in some areas, highlight the necessity of …

Determinants of risk disparity due to infrastructure service losses in disasters: a household service gap model

A Esmalian, S Dong, N Coleman, A Mostafavi - Risk analysis, 2021 - Wiley Online Library
The objective of this article is to systematically assess and identify factors affecting risk
disparity due to infrastructure service disruptions in extreme weather events. We propose a …