Evaluating large language models for forced outage risk prediction; benefits and comparison to machine learning
Read the original at arxiv.org→arXiv:2609.04272v1 Announce Type: new Abstract: This study examines the ability of large language models (LLMs) to predict the risk of weather-related forced outages in the distribution grid in a zero-shot...
Original headline: "Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning"
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- Sep 7, 04:00 UTC arXiv cs.LG lead source Evaluating Large Language Models for Forced Outage Risk Prediction: Benefits and Comparison to Machine Learning