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The frequency of wildfire disasters has surged five-fold in the past 50 years due to climate change. Preemptive de-energization is a potent strategy to mitigate wildfire risks but substantially impacts customers. We propose a multistage…

Optimization and Control · Mathematics 2024-04-10 Hanbin Yang , Noah Rhodes , Haoxiang Yang , Line Roald , Lewis Ntaimo

Climate change is expected to aggravate wildfire activity through the exacerbation of fire weather. Improving our capabilities to anticipate wildfires on a global scale is of uttermost importance for mitigating their negative effects. In…

We propose a Bayesian stochastic cellular automata modeling approach to model the spread of wildfires with uncertainty quantification. The model considers a dynamic neighborhood structure that allows neighbor states to inform transition…

Applications · Statistics 2023-06-07 Nicholas Grieshop , Christopher K. Wikle

Intense wildfires impact nature, humans, and society, causing catastrophic damage to property and the ecosystem, as well as the loss of life. Forecasting wildfire front propagation is essential in order to support fire fighting efforts and…

Methodology · Statistics 2022-10-28 Myungsoo Yoo , Christopher K. Wikle

As wildfires in the United States are becoming more frequent and severe, mitigating wildfire ignition risk from power line faults is an increasingly crucial effort. Long-term ignition prevention strategies, especially converting overhead…

Systems and Control · Electrical Eng. & Systems 2022-04-29 Sofia Taylor , Line A. Roald

Wildfire forecasting has been one of the most critical tasks that humanities want to thrive. It plays a vital role in protecting human life. Wildfire prediction, on the other hand, is difficult because of its stochastic and chaotic…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Thai-Nam Hoang , Sang Truong , Chris Schmidt

Wildfires pose a severe threat to the ecosystem and economy, and risk assessment is typically based on fire danger indices such as the McArthur Forest Fire Danger Index (FFDI) used in Australia. Studying the joint tail dependence structure…

Methodology · Statistics 2023-08-09 Daniela Cisneros , Arnab Hazra , Raphaël Huser

Wildfires are growing in frequency and intensity, devastating ecosystems and communities while causing billions of dollars in suppression costs and economic damage annually in the U.S. Traditional wildfire management is mostly reactive,…

Machine Learning · Computer Science 2026-01-21 Shaurya Mathur , Shreyas Bellary Manjunath , Nitin Kulkarni , Alina Vereshchaka

Wildfires pose an increasing threat to the safety and reliability of power systems, particularly in distribution networks located in fire-prone regions. To mitigate ignition risk from electrical infrastructure, utilities often employ safety…

Systems and Control · Electrical Eng. & Systems 2026-04-09 Xinyi Zhao , Prasanna Raut , Chaoyue Zhao , Alexandre Moreira

The critical need for sophisticated detection techniques has been highlighted by the rising frequency and intensity of wildfires in the US, especially in California. In 2023, wildfires caused 130 deaths nationwide, the highest since 1990.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Gowtham Raj Vuppari , Navarun Gupta , Ahmed El-Sayed , Xingguo Xiong

Drought has been perceived as a persistent threat globally and the complex mechanism of various factors contributing to its emergence makes it more troublesome to understand. Droughts and their severity trends have been a point of concern…

Computers and Society · Computer Science 2024-11-08 Ujjwal , Shikha C. Patel , Bansari K. Shah , Nicholas Ogbonna , Huthaifa I Ashqar

Building fires pose a persistent threat to life, property, and infrastructure, emphasizing the need for advanced risk mitigation strategies. This study presents a data-driven framework analyzing U.S. fire risks by integrating over one…

Machine Learning · Computer Science 2025-04-01 Chenzhi Ma , Hongru Du , Shengzhi Luan , Ensheng Dong , Lauren M. Gardner , Thomas Gernay

Wildfires can severely damage electricity grids leading to long periods of power interruption. Climate change will exacerbate this threat by increasing the frequency of dry climate conditions. Under these climate conditions, human-related…

Optimization and Control · Mathematics 2023-06-13 Alexandre Moreira , Felipe Pianco , Bruno Fanzeres , Alexandre Street , Ruiwei Jiang , Chaoyue Zhao , Miguel Heleno

Modelling wildfire events has been studied in the literature using the Poisson process, which essentially assumes the independence of wildfire events. In this paper, we use the fractional Poisson process to model the wildfire occurrences in…

Applications · Statistics 2024-11-22 Sudeep R. Bapat , Aditya Maheshwari

Wildland fire dynamics is a complex turbulent dimensional process. Cellular automata (CA) is an efficient tool to predict fire dynamics, but the main parameters of the method are challenging to estimate. To overcome this challenge, we…

Cellular Automata and Lattice Gases · Physics 2017-12-14 Miles Currie , Kevin Speer , Kevin Hiers , Joseph O'Brien , Scott Goodrick , Bryan Quaife

Recent wildfires in Australia have led to considerable economic loss and property destruction, and there is increasing concern that climate change may exacerbate their intensity, duration, and frequency. Hazard quantification for extreme…

Applications · Statistics 2024-01-12 Daniela Cisneros , Jordan Richards , Ashok Dahal , Luigi Lombardo , Raphaël Huser

With increased frequency and intensity due to climate change, wildfires have become a growing global concern. This creates severe challenges for fire and emergency services as well as communities in the wildland-urban interface (WUI). To…

Computers and Society · Computer Science 2021-09-17 Xilei Zhao , Yiming Xu , Ruggiero Lovreglio , Erica Kuligowski , Daniel Nilsson , Thomas Cova , Alex Wu , Xiang Yan

The study of post-wildfire plant regrowth is essential for developing successful ecosystem recovery strategies. Prior research mainly examines key ecological and biogeographical factors influencing post-fire succession. This research…

Machine Learning · Computer Science 2023-11-07 Jiahe Liu , Xiaodi Wang

Climate change has largely impacted our daily lives. As one of its consequences, we are experiencing more wildfires. In the year 2020, wildfires burned a record number of 8,888,297 acres in the US. To awaken people's attention to climate…

Machine Learning · Computer Science 2021-06-23 Yang Li , Hermawan Mulyono , Ying Chen , Zhiyin Lu , Desmond Chan

Climate change is expected to intensify and increase extreme events in the weather cycle. Since this has a significant impact on various sectors of our life, recent works are concerned with identifying and predicting such extreme events…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Mohamad Hakam Shams Eddin , Ribana Roscher , Juergen Gall