English
Related papers

Related papers: Major Space Weather Risks Identified via Coupled P…

200 papers

Recent large-magnitude earthquakes have demonstrated the damaging consequences of soil liquefaction and reinforced the need to understand and plan for liquefaction hazards at a regional scale. In the United States, the Pacific Northwest is…

Computational Engineering, Finance, and Science · Computer Science 2026-03-20 Morgan D. Sanger , Brett W. Maurer

Engineering sciences, such as energy system research, play an important role in developing solutions to technical, environmental, economic, and social challenges of our modern society. In this context, the transformation of energy systems…

Digital Libraries · Computer Science 2024-01-25 Oliver Karras , Jan Göpfert , Patrick Kuckertz , Tristan Pelser , Sören Auer

Energy (load, wind, photovoltaic) forecasting is significant in the power industry as it can provide a reference for subsequent tasks such as power grid dispatch, thus bringing huge economic benefits. However, there are many differences…

Machine Learning · Computer Science 2024-10-07 Zhixian Wang , Qingsong Wen , Chaoli Zhang , Liang Sun , Leandro Von Krannichfeldt , Shirui Pan , Yi Wang

We examine the mechanisms by which atmosphere can be eroded by giant impacts onto Earth-like planets with thin atmospheres, using 3D smoothed particle hydrodynamics simulations with sufficient resolution to directly model the fate of…

Earth and Planetary Astrophysics · Physics 2020-07-22 J. A. Kegerreis , V. R. Eke , R. J. Massey , L. F. A. Teodoro

The IPCC AR6 assessment of the impacts and risks associated with projected climate changes for the 21st century is both alarming and ambiguous. According to computer projections, the global surface may warm from 1.3 to 8.0 {\deg}C by 2100,…

Atmospheric and Oceanic Physics · Physics 2024-01-18 Nicola Scafetta

Modeling extreme precipitation and temperature is vital for understanding the impacts of climate change, as hazards like intense rainfall and record-breaking temperatures can result in severe consequences, including floods, droughts, and…

Methodology · Statistics 2026-01-13 Remy MacDonald , Benjamin Seiyon Lee , John Foley , Justin Lee

The main objective of the study is to determine the probability distributions of the geomagnetic Dst index as a function of the coronal mass ejection (CME) and solar flare parameters for the purpose of establishing a probabilistic forecast…

Historical observations of severe weather and simulated severe weather environments (i.e., features) from the Global Ensemble Forecast System v12 (GEFSv12) Reforecast Dataset (GEFS/R) are used in conjunction to train and test random forest…

Atmospheric and Oceanic Physics · Physics 2022-12-19 Aaron J. Hill , Russ S. Schumacher , Israel Jirak

As one of the most pressing challenges of the 21st century, global climate change demands a host of changes across four critical energy infrastructures: the electric grid, the natural gas system, the oil system, and the coal system.…

Physics and Society · Physics 2022-08-16 Dakota J. Thompson , Amro M. Farid

Efforts to reduce climate change, but also falling prices and significant technology developments currently drive an increased weather-dependent electricity production from renewable electricity sources. In light of the changing climate, it…

Signal Processing · Electrical Eng. & Systems 2019-06-10 Smail Kozarcanin , Hailiang Liu , Gorm Bruun Andresen

The increasing frequency of extreme weather events poses significant risks to power distribution systems, leading to widespread outages and severe economic and social consequences. This paper presents a novel simulation framework for…

Systems and Control · Electrical Eng. & Systems 2025-02-13 Xuesong Wang , Shuo Yuan , Sharaf K. Magableh , Oraib Dawaghreh , Caisheng Wang , Le Yi Wang

Insurance industry is one of the most vulnerable sectors to climate change. Assessment of future number of claims and incurred losses is critical for disaster preparedness and risk management. In this project, we study the effect of…

Applications · Statistics 2021-03-17 Asim K. Dey , Vyacheslav Lyubchich , Yulia R. Gel

Our planet is facing increasingly frequent extreme events, which pose major risks to human lives and ecosystems. Recent advances in machine learning (ML), especially with foundation models (FMs) trained on extensive datasets, excel in…

Machine Learning · Computer Science 2025-05-14 Shan Zhao , Zhitong Xiong , Jie Zhao , Xiao Xiang Zhu

Space weather events may cause damage to several fields, including aviation, satellites, oil and gas industries, and electrical systems, leading to economic and commercial losses. Solar flares are one of the most significant events, and…

Solar and Stellar Astrophysics · Physics 2020-06-25 T. Cinto , A. L. S. Gradvohl , G. P. Coelho , A. E. A. da Silva

Modeling spatial heterogeneity and associated critical transitions remains a fundamental challenge in geography and environmental science. While conventional Geographically Weighted Regression (GWR) and deep learning models have improved…

Artificial Intelligence · Computer Science 2026-04-07 Sooyoung Lim , Zhenlong Li , Zi-Kui Liu

The power grid is undergoing significant restructuring driven by the adoption of wind/solar power and the incorporation of new flexible technologies that can shift load in space and time (e.g., data centers, battery storage, and modular…

Systems and Control · Electrical Eng. & Systems 2023-03-21 Weiqi Zhang , Victor M. Zavala

This article aims at facilitating the widespread application of Energy Management Systems (EMSs), especially on buildings and cities, in order to support the realization of future carbon-neutral energy systems. We claim that economic…

Software Engineering · Computer Science 2025-03-19 David Wölfle , Kevin Förderer , Tobias Riedel , Lukas Landwich , Ralf Mikut , Veit Hagenmeyer , Hartmut Schmeck

Arctic warming threatens over 100 billion in permafrost-dependent infrastructure across Northern territories, yet existing risk assessment frameworks lack spatiotemporal validation, uncertainty quantification, and operational…

Machine Learning · Statistics 2025-10-03 Boris Kriuk

Between May 10-12, 2024, Earth saw its largest geomagnetic storm in over 20 years. Since the last major storm in 2003, the population of satellites in low Earth orbit has surged following the commercialization of space services and the…

Earth and Planetary Astrophysics · Physics 2025-01-17 William E. Parker , Richard Linares

The macroeconomic climate influences operations with regard to, e.g., raw material prices, financing, supply chain utilization and demand quotas. In order to adapt to the economic environment, decision-makers across the public and private…

Machine Learning · Statistics 2018-03-13 Stefan Feuerriegel , Julius Gordon
‹ Prev 1 8 9 10 Next ›