Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning
arXiv 2609.04272v1•d22684fb54222d6726723b17e8277ff3d7cc0dab82bdcc10f36a7b8850415d17
Paper metadata
- arXiv ID
- 2609.04272
- Version
- v1
- Category
- cs.CL, cs.LG
- Authors
- Christos Petridis, Zoran Obradovic, Mladen Kezunovic
- Publication date
- 2026-09-07T04:00:00Z
- Source identifier
- 2609.04272v1
- Public record ID
- record:sha256:d22684fb54222d6726723b17e8277ff3d7cc0dab82bdcc10f36a7b8850415d17
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- d22684fb54222d6726723b17e8277ff3d7cc0dab82bdcc10f36a7b8850415d17
- Record type
- Source metadata
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