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提高电网的可靠性:用于电气故障分类的混合机器学习方法

Momotaz Begum1, Ariful Islam Shiplu1, Mehedi Hasan Shuvo1

  • 1Department of Computer Science and Engineering, Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh.

PloS one
|February 13, 2026
PubMed
概括

本研究介绍了一种混合机器学习模型,用于高效的电力输电线路故障分类. (随机森林+决策树+堆叠) 模型实现了93.64%的准确性,提高了电网可靠性和维护.

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