Meta In-Context Learning: Harnessing Large Language Models for Electrical Data Classification

Meta In-Context Learning: Harnessing Large Language Models for Electrical Data Classification

The evolution of communication technology has driven the demand for intelligent power grids and data analysis in power systems. However, obtaining and annotating electrical data from intelligent terminals is time-consuming and challenging. We propose Meta In-Context Learning (M-ICL), a new approach...

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Bibliographic Details
Main Authors: Mi Zhou, Fusheng Li, Fan Zhang, Junhao Zheng, Qianli Ma
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
electrical data
large language models
in-context learning
Online Access:https://www.mdpi.com/1996-1073/16/18/6679

Internet

https://www.mdpi.com/1996-1073/16/18/6679

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