A Two-Stage Topology Identification Strategy for Low-Voltage Distribution Grids Based on Contrastive Learning

An accurate topology of low-voltage distribution grids (LVDGs) serves as the foundation for advanced applications such as line loss analysis, fault location, and power supply planning. This paper proposes a two-stage topology identification strategy for LVDGs based on Contrastive Learning. Firstly,...

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Detalhes bibliográficos

Principais autores:	Yang Lei, Fan Yang, Yanjun Feng, Wei Hu, Yinzhang Cheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-11-01
coleção:	Energies
Assuntos:	low-voltage distribution grid topology identification unsupervised graph attention network dynamic time warping contrastive learning
Acesso em linha:	https://www.mdpi.com/1996-1073/18/22/5886
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