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This study makes significant contributions to the understanding of hail climatology in Austria. First, it introduces a comprehensive database of hailstone sizes, constructed from three-dimensional radar data spanning 2009 to 2022 and…

Microgrids are resources that can be used to restore critical loads after a natural disaster, enhancing resilience of a distribution network. To deal with the stochastic nature of intermittent energy resources, such as wind turbines (WTs)…

Systems and Control · Computer Science 2017-09-25 Zhiwen Wang , Chen Shen , Yin Xu , Feng Liu , Xiangyu Wu , Chen-Ching Liu

Driven by the increasing frequency and intensity of natural disasters and chronic climate threats, we investigate the impact of physical climate risk on global equity portfolios. By employing a panel regression analysis on sectoral returns,…

Portfolio Management · Quantitative Finance 2026-04-14 Michele Azzone , Carlo Bechi , Gabriele Sbaiz

As climate change intensifies, the shift to cleaner energy sources becomes increasingly urgent. With wind energy production set to accelerate, reliable wind probabilistic forecasts are essential to ensure its efficient use. However, since…

Machine Learning · Computer Science 2024-10-08 Jean-Sébastien Giroux , Simon-Philippe Breton , Julie Carreau

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

Regional disaster resilience quantifies the changing nature of physical risks to inform policy instruments ranging from local immediate recovery to international sustainable development. While many existing state-of-practice methods have…

Machine Learning · Computer Science 2026-03-19 Joshua Dimasaka , Christian Geiß , Emily So

Current approaches to design flood-sensitive infrastructure typically assume a stationary rainfall distribution and neglect many uncertainties. These assumptions are inconsistent with observations that suggest intensifying extreme…

Applications · Statistics 2022-01-11 Sanjib Sharma , Ben Seiyon Lee , Robert E. Nicholas , Klaus Keller

Although climate and nature related scenario analysis is increasingly important in finance, operational implementations remain limited for translating long horizon environmental scenarios into counterparty credit risk measures used in…

Risk Management · Quantitative Finance 2026-03-30 Takayuki Sakuma

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

Existing or planned power grids need to evaluate survivability under extreme events, like a number of peak load overloading conditions, which could possibly cause system collapses (i.e. blackouts). For realistic extreme events that are…

Systems and Control · Electrical Eng. & Systems 2026-03-13 Qinghua Ma , Reetam Sen Biswas , Denis Osipov , Guannan Qu , Soummya Kar , Shimiao Li

Climate models are limited by heavy computational costs, often producing outputs at coarse spatial resolutions, while many climate change impact studies require finer scales. Statistical downscaling bridges this gap, and we adapt the…

Machine Learning · Computer Science 2025-11-06 Maryam Alipourhajiagha , Pierre-Louis Lemaire , Youssef Diouane , Julie Carreau

Changes in extreme weather events are a potentially important aspect of anthropogenic climate change (ACC), yet, are difficult to attribute to ACC because the record length is often similar to, or shorter than, extreme-event return periods.…

Atmospheric and Oceanic Physics · Physics 2025-02-19 Peter Sherman , Peter Huybers , Eli Tziperman

This study explores compounding impacts of climate change on power system's load and generation, emphasising the need to integrate adaptation and mitigation strategies into investment planning. We combine existing and novel empirical…

Physics and Society · Physics 2024-09-06 Alice Di Bella , Francesco Pietro Colelli

This paper presents a consolidated grid impact analysis design and corresponding mitigation strategies for heavy-duty electric vehicle (EV) charging stations. The charging load of heavy-duty charging station can reach several megawatts,…

Systems and Control · Electrical Eng. & Systems 2022-08-16 Xiangqi Zhu , Partha Mishra , Barry Mather , Mingzhi Zhang , Andrew Meintz

Climate change is amplifying extreme precipitation events in many regions and imposes substantial challenges for the resilience of road drainage infrastructure. Conventional design storm methodologies, which rely on historical trends of…

Geophysics · Physics 2025-08-15 Mohammad Fereshtehpour , Rashid Bashir , Neil F. Tandon

Power system expansion models are a widely used tool for planning powersystems, especially considering the integration of large shares of renewableresources. The backbone of these models is an optimization problem, whichdepends on a number…

Physics and Society · Physics 2021-08-26 Bruno U. Schyska , Alexander Kies , Markus Schlott , Lueder von Bremen , Wided Medjroubi

An approach is proposed to identify optimal asset protection strategies based on vulnerability assessment outcomes. Traditional bilevel attacker-defender models emphasize worst-case scenarios but offer limited defensive guidance. In…

Optimization and Control · Mathematics 2026-01-19 Eric Tönges , Martin Braun , Philipp Härtel

With the increase in awareness about the climate change, there has been a tremendous shift towards utilizing renewable energy sources (RES). In this regard, smart grid technologies have been presented to facilitate higher penetration of…

Signal Processing · Electrical Eng. & Systems 2017-09-26 O. A. Ansari , N. Safar , C. Y. Chung

Natural disasters such as hurricanes, wildfires, and winter storms have induced large-scale power outages in the U.S., resulting in tremendous economic and societal impacts. Accurately predicting power outage recovery and impact is key to…

Machine Learning · Computer Science 2025-11-17 Chenghao Duan , Chuanyi Ji

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…