Copertina

Quantifying Metrics for Wildfire Ignition Risk from Geographic Data in Power Shutoff Decision-Making

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Piansky, Ryan, Taylor, Sofia, Rhodes, Noah, Molzahn, Daniel K., Roald, Line A., Watson, Jean-Paul
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards
di: Piansky, Ryan, et al.
Pubblicazione: (2025)

Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk
di: Huang, Weimin, et al.
Pubblicazione: (2025)

Long Solution Times or Low Solution Quality: On Trade-Offs in Choosing a Power Flow Formulation for the Optimal Power Shutoff Problem
di: Haag, Eric, et al.
Pubblicazione: (2023)

Robust Capacity Expansion under Wildfire Ignition Risk and High Renewable Penetration
di: Tapia, Tomás, et al.
Pubblicazione: (2026)

Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging
di: Piansky, Ryan, et al.
Pubblicazione: (2024)

Multistage Stochastic Program for Mitigating Power System Risks under Wildfire Disruptions
di: Yang, Hanbin, et al.
Pubblicazione: (2023)

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
di: Piansky, Ryan, et al.
Pubblicazione: (2025)

Reinforcement Learning for Public Safety Power Shutoffs Under Decision-Dependent Uncertainty and Nonlinear Wildfire Ignition Models
di: Raut, Prasanna, et al.
Pubblicazione: (2026)

Second-Order-Cone Formulations of Power Flow for Topology Optimization
di: Rhodes, Noah, et al.
Pubblicazione: (2025)

ElectricityEmissions.jl: A Framework for the Comparison of Carbon Intensity Signals
di: Gorka, Joe, et al.
Pubblicazione: (2024)

Equitably allocating wildfire resilience investments for power grids: The curse of aggregation and vulnerability indices
di: Pollack, Madeleine, et al.
Pubblicazione: (2024)

Advanced Scheduling of Electrolyzer Modules for Grid Flexibility
di: Lesniak, Angelina, et al.
Pubblicazione: (2024)

Adaptive Power Flow Approximations with Second-Order Sensitivity Insights
di: Buason, Paprapee, et al.
Pubblicazione: (2024)

PowerPlots.jl: An Open Source Power Grid Visualization and Data Analysis Framework for Academic Research
di: Rhodes, Noah
Pubblicazione: (2025)

Wildfire Risk Metric Impact on Public Safety Power Shut-off Cost Savings
di: Greenough, Ryan, et al.
Pubblicazione: (2024)

Modeling Adversarial Wildfires for Power Grid Disruption
di: Brun, Matthew, et al.
Pubblicazione: (2026)

Greening the Grid: Electricity Market Clearing with Consumer-Based Carbon Cost
di: Jiang, Wenqian, et al.
Pubblicazione: (2025)

Error Bounds for Radial Network Topology Learning from Quantized Measurements
di: Talkington, Samuel, et al.
Pubblicazione: (2025)

Invertibility Conditions for the Admittance Matrices of Balanced Power Systems
di: Turizo, Daniel, et al.
Pubblicazione: (2020)

Strategic Data Center Load Shifting: Implications for Market Efficiency and Transmission Value
di: Brenner, Aron, et al.
Pubblicazione: (2025)

Wildfire Risk-Informed Preventive-Corrective Decision Making under Renewable Uncertainty
di: Sahoo, Satyaprajna, et al.
Pubblicazione: (2026)

Improving the Accuracy of DC Optimal Power Flow Formulations via Parameter Optimization
di: Taheri, Babak, et al.
Pubblicazione: (2024)

Energy Management for Prepaid Customers: A Linear Optimization Approach
di: Marathe, Maitreyee, et al.
Pubblicazione: (2024)

Optimizing Parameters of the DC Power Flow
di: Taheri, Babak, et al.
Pubblicazione: (2023)

Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations
di: Porras, Álvaro, et al.
Pubblicazione: (2023)

Consumer-based Carbon Costs: Integrating Consumer Carbon Preferences in Electricity Markets
di: Jiang, Wenqian, et al.
Pubblicazione: (2025)

Conservative Bias Linear Power Flow Approximations: Application to Unit Commitment
di: Buason, Paprapee, et al.
Pubblicazione: (2024)

A Decomposition Method for Solving Sensitivity-Based Distributed Optimal Power Flow
di: Alkhraijah, Mohannad, et al.
Pubblicazione: (2025)

AC Power Flow Feasibility Restoration via a State Estimation-Based Post-Processing Algorithm
di: Taheri, Babak, et al.
Pubblicazione: (2023)

Sample-Based Piecewise Linear Power Flow Approximations Using Second-Order Sensitivities
di: Buason, Paprapee, et al.
Pubblicazione: (2025)

Discrete Shortest Paths in Optimal Power Flow Feasible Regions
di: Turizo, Daniel, et al.
Pubblicazione: (2024)

VArsity: Can Large Language Models Keep Power Engineering Students in Phase?
di: Talkington, Samuel, et al.
Pubblicazione: (2025)

A Framework for Balancing Power Grid Efficiency and Risk with Bi-objective Stochastic Integer Optimization
di: Rossmann, Ramsey, et al.
Pubblicazione: (2024)

Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks
di: Gupta, Rahul K., et al.
Pubblicazione: (2024)

Optimizing Phase Allocation in Unbalanced Power Distribution Networks using a Linearized DistFlow Formulation
di: Gupta, Rahul K., et al.
Pubblicazione: (2025)

Improving Fairness in Photovoltaic Curtailments via Daily Topology Reconfiguration for Voltage Control in Power Distribution Networks
di: Gupta, Rahul K., et al.
Pubblicazione: (2024)

Strategic Spatial Load Shifting and Market Efficiency
di: Brenner, Aron, et al.
Pubblicazione: (2026)

Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
di: Gonzalez, Rosemarie Santa, et al.
Pubblicazione: (2024)

A Fault-Tolerant Distributed Termination Method for Distributed Optimization Algorithms
di: Alkhraijah, Mohannad, et al.
Pubblicazione: (2024)

Mitigating the Impact of Uncertain Wildfire Risk on Power Grids through Topology Control
di: Zhou, Yuqi, et al.
Pubblicazione: (2023)