arXiv (All)
open access
OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation
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
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Assessing the Sensitivities of Input-Output Methods for Natural Hazard-Induced Power Outage Macroeconomic Impacts.#645510
- Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers#373475
- Evaluating investments in electricity resilience: evidence from California's Public Safety Power Shutoff (PSPS) events#784565
- A multi-model framework for identifying affordable low-carbon electricity pathways for India under uncertainty#997518
- Cost-Informed Learning for Aggregating Building HVAC Flexibility#1154842
Record · ID 822315
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive