SOURCE-LINKED INTELLIGENCE

OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Power-outage planning requires scenarios before an event occurs. These scenarios must represent uncertainty in magnitude, timing, and duration while preserving temporal dependence. However, severe events are rare, and data from any single region contain few examples of extreme outage and restoration patterns. To address this challenge, we introduce OutageDiT, a foundation model for generating seven-day outage trajectories at quarter-hour resolution, trained on outage and weather records across the United States. Specifically, a condition encoder processes the historical context and known futur

Read original source ↗ Open in workspace

recordType

paper

region

Global