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COVID19 is now one of the most leading causes of death in the United States. Systemic health, social and economic disparities have put the minorities and economically poor communities at a higher risk than others. There is an immediate…

Machine Learning · Computer Science 2020-09-24 Anuj Tiwari , Arya V. Dadhania , Vijay Avin Balaji Ragunathrao , Edson R. A. Oliveira

Residential solar photovoltaic (PV) systems are a cornerstone of residential decarbonization and energy resilience. However, most existing systems are PV-only and cannot provide backup power during grid failures. Here, we present a…

General Economics · Economics 2025-12-05 Jiashu Zhu , Wenbin Zhou , Laura Diaz Anadon , Shixiang Zhu

Electrical power grids are vulnerable to cascading failures that can lead to large blackouts. Detection and prevention of cascading failures in power grids is impor- tant. Currently, grid operators mainly monitor the state (loading level)…

Physics and Society · Physics 2015-07-20 Martijn Warnier , Stefan Dulman , Yakup Koç , Eric Pauwels

Power grids are one of the most important components of infrastructure in today's world. Every nation is dependent on the security and stability of its own power grid to provide electricity to the households and industries. A malfunction of…

Systems and Control · Computer Science 2017-11-13 Biswarup Bhattacharya , Abhishek Sinha

In recent years, increasingly unpredictable and severe global weather patterns have frequently caused long-lasting power outages. Building resilience, the ability to withstand, adapt to, and recover from major disruptions, has become…

Machine Learning · Statistics 2024-11-27 Hanyang Jiang , Yao Xie , Feng Qiu

The power system is among the most important critical infrastructures in urban cities and is getting increasingly essential in supporting people s daily activities. However, it is also susceptible to most natural disasters such as tsunamis,…

Systems and Control · Electrical Eng. & Systems 2022-12-14 Chen Xia , Yuqing Hu , Jianli Chen

The short-term voltage stability (SVS) problem in large-scale receiving-end power systems is serious due to the increasing load demand, the increasing use of electronically controlled loads and so on. Some serious blackouts are considered…

Systems and Control · Computer Science 2017-02-23 Wenlu Zhao

Social vulnerability is the susceptibility of a community to be adversely impacted by natural hazards and public health emergencies, such as drought, earthquakes, flooding, virus outbreaks, and the like. Climate change is at the root of…

Human-Computer Interaction · Computer Science 2023-01-10 Darius Coelho , Nikita Gupta , Eric Papenhausen , Klaus Mueller

Recent work found distributed resonances in driven oscillator networks and AC power grids. The emerging dynamic resonance patterns are highly heterogeneous and nontrivial, depending jointly on the driving frequency, the interaction topology…

Adaptation and Self-Organizing Systems · Physics 2019-08-05 Xiaozhu Zhang , Cheng Ma , Marc Timme

The size distributions of power outages are shown to depend on the stress, or the proximity of the load of an electrical grid to complete breakdown. Using the data for the U.S. between 2002-2017, we show that the outage statistics are…

Physics and Society · Physics 2020-02-12 Soumyajyoti Biswas , Lucas Goehring

Power system resilience is vital to modern society, as outages caused by extreme weather can severely disrupt communities. Existing statistical and simulation-based methods for resilience quantification are either retrospective or rely on…

Systems and Control · Electrical Eng. & Systems 2026-03-10 Xuesong Wang , Caisheng Wang

Given that disturbances to the stable and normal operation of power systems have grown phenomenally, particularly in terms of unauthorized access to confidential and critical data, injection of malicious software, and exploitation of…

Machine Learning · Computer Science 2025-01-27 Mofe O. Jeje

Networked power grid systems are susceptible to a phenomenon known as Coherent Swing Instability (CSI), in which a subset of machines in the grid lose synchrony with the rest of the network. We develop network level evaluation metrics to…

Physics and Society · Physics 2019-05-24 Daniel Dylewsky , Xiu Yang , Alexandre Tartakovsky , J. Nathan Kutz

This paper presents a novel learning based framework for predicting power outages caused by extreme events. The proposed approach targets low-probability high-consequence outage scenarios and leverages a comprehensive set of features…

Machine Learning · Computer Science 2026-02-11 Nina Fatehi , Antar Kumar Biswas , Masoud H. Nazari

Almost 90% of the major power outages in the US are caused due to hurricanes. Due to the highly uncertain nature of hurricanes in both spatial and temporal dimensions, it is essential to quantify the effect of such hurricanes on a power…

Systems and Control · Electrical Eng. & Systems 2022-11-16 Abodh Poudyal , Vishnu Iyengar , Diego Garcia-Camargo , Anamika Dubey

Unplanned power outages cost the US economy over $150 billion annually, partly due to predictive maintenance (PdM) models that overlook spatial, temporal, and causal dependencies in grid failures. This study introduces a multilayer Graph…

Systems and Control · Electrical Eng. & Systems 2025-07-11 Muhammad Kazim , Harun Pirim , Chau Le , Trung Le , Om Prakash Yadav

Providing situational awareness in light of severe coordinated cyber-attacks on power grids, where many measurements may be untrusted, is necessary for reliable monitoring and resilient operation of the grid. In this scenario, the set of…

Systems and Control · Electrical Eng. & Systems 2020-04-13 Ana Jevtić , Marija Ilić

Community resilience in the face of natural hazards relies on a community's potential to bounce back. A failure to integrate equity into resilience considerations results in unequal recovery and disproportionate impacts on vulnerable…

Machine Learning · Statistics 2022-02-08 Ali Nejat , Laura Solitare , Edward Pettitt , Hamed Mohsenian-Rad

The Texan electric network in the Gulf Coast of the United States is frequently hit by Tropical Cyclones (TC) causing widespread power outages, a risk that is expected to substantially increase under global warming. Here, we introduce a new…

Extreme weather events, such as severe storms, hurricanes, snowstorms, and ice storms, which are exacerbated by climate change, frequently cause widespread power outages. These outages halt industrial operations, impact communities, damage…

Machine Learning · Computer Science 2026-04-07 Xuyang Shen , Zijie Pan , Diego Cerrai , Xinxuan Zhang , Christopher Colorio , Emmanouil N. Anagnostou , Dongjin Song