Machine learning for power outage prediction during hurricanes: An extensive review
The surge of machine learning (ML) applications and increasing usage of data driven
approach for resilience enhancement provide great opportunities for applying ML …
approach for resilience enhancement provide great opportunities for applying ML …
Resilience assessment and enhancement evaluation of power distribution systems subjected to ice storms
Overhead power distribution systems are very susceptible to ice storms. Each year power
outages due to ice storms result in extensive economical loss and restoration costs all …
outages due to ice storms result in extensive economical loss and restoration costs all …
A hybrid physics-based and data-driven model for power distribution system infrastructure hardening and outage simulation
Power outages caused by severe storms produce enormous economic losses and societal
disruptions. Infrastructure hardening for a more resilient power grid can reduce weather …
disruptions. Infrastructure hardening for a more resilient power grid can reduce weather …
Modeling tree damages and infrastructure disruptions under strong winds for community resilience assessment
Tree failures under extreme gusts could exacerbate storm damages to critical infrastructures,
including the power delivery system, transportation network, or residential buildings …
including the power delivery system, transportation network, or residential buildings …
Integrating Structural Vulnerability Analysis and Data-Driven Machine Learning to Evaluate Storm Impacts on The Power Grid
The complex interactions between the weather, the environment, and electrical infrastructure
that result in power outages are not fully understood, but because of the threat of climate …
that result in power outages are not fully understood, but because of the threat of climate …
Modeling the resilience of power distribution systems subjected to extreme winds considering tree failures: An integrated framework
G Hou, KK Muraleetharan - International Journal of Disaster Risk Science, 2023 - Springer
Overhead electrical power distribution systems (PDS) are very susceptible to extreme wind
hazards. Power outages can cause catastrophic consequences, including economic losses …
hazards. Power outages can cause catastrophic consequences, including economic losses …
Data-Driven Analytics for Reliability in the Buildings-to-Grid Integrated System Framework: A Systematic Text-Mining-Assisted Literature Review and Trend Analysis
Data-driven machine learning-based methods have provided immense capabilities,
revolutionizing sectors like the Buildings-to-grid (B2G) integrated system. Since the …
revolutionizing sectors like the Buildings-to-grid (B2G) integrated system. Since the …
Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model
Improvements of power system performance during severe weather events are targeted
through grid hardening actions, such as strengthening aging infrastructure or performing …
through grid hardening actions, such as strengthening aging infrastructure or performing …
Probabilistic risk assessment framework for predicting large woody debris accumulations and scour near bridges
The accumulation of waterborne large woody debris is a critical issue facing bridges
spanning active waterways. In addition to collision forces, drift buildup constricts flow …
spanning active waterways. In addition to collision forces, drift buildup constricts flow …
Stochastic Sequential Restoration for Resilient Cyber-Physical Power Distribution Systems
Modern power systems are undergoing a paradigm shift from traditional grids towards smart
grids. It fundamentally changes traditional power systems into complex cyber-physical …
grids. It fundamentally changes traditional power systems into complex cyber-physical …