An MDP framework with approximate dynamic programming optimizes power line switching during wildfires to minimize costs under decision-dependent uncertainty, tested on 54-bus and 138-bus systems.
Wildfire mitigation plans in power systems: A literature review
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A Markov Decision Process Framework for Enhancing Power System Resilience during Wildfires under Decision-Dependent Uncertainty
An MDP framework with approximate dynamic programming optimizes power line switching during wildfires to minimize costs under decision-dependent uncertainty, tested on 54-bus and 138-bus systems.