Wildfire Modeling: Designing a Market to Restore Assets
Ramandeep Kaur Bagri, Yihsu Chen

TL;DR
This paper proposes a novel market-based approach to quantify wildfire risks from power lines, enabling fairer charges and improved wildfire prevention, ultimately maximizing social surplus and reducing costs for utilities and customers.
Contribution
It introduces a method to incorporate wildfire risk into electricity pricing and wildfire fund collection based on location-specific risk assessments.
Findings
Quantifies wildfire risk associated with vegetation and power lines.
Suggests a location-based risk premium for energy pricing.
Proposes a system to prevent wildfires by controlling line flows.
Abstract
In the past decade, summer wildfires have become the norm in California, and the United States of America. These wildfires are caused due to variety of reasons. The state collects wildfire funds to help the impacted customers. However, the funds are eligible only under certain conditions and are collected uniformly throughout California. Therefore, the overall idea of this project is to look for quantitative results on how electrical corporations cause wildfires and how they can help to collect the wildfire funds or charge fairly to the customers to maximize the social impact. The research project aims to propose the implication of wildfire risk associated with vegetation, and due to power lines and incorporate that in dollars. Therefore, the project helps to solve the problem of collecting wildfire funds associated with each location and incorporate energy prices to charge their…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFire effects on ecosystems
