Code and Data for Dynamic Transmission Line Switching Amidst Wildfire-Prone Weather Under Decision-Dependent Uncertainty
提出一个多阶段优化框架，用于在野火天气下动态控制输电线路拓扑，结合分布鲁棒建模和随机嵌套分解算法，并提供诊断与可视化工具辅助政策分析。
During dry and windy seasons, wildfire conditions increase the risk of transmission line failures. This repository provides a multi-stage optimization framework for dynamic transmission topology control under decision-dependent uncertainty in line survival. The implementation combines distributionally robust modeling with a stochastic nested decomposition algorithm and includes diagnostics and visualization for policy analysis.