Work

Fault Location in Power Distribution Networks With Massive Missing Data: A Graph-Based Imputation and Contrastive Learning Approach

Year: 2025

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2025.3580658

Authors: Luliang Zhang, Dingyan Hua, Tianyao Ji, Tong Qian, Jian Wang

Institutions: South China University of Technology, State Grid Fujian Electric Power Company (China)

Language: English

Topic: Power Systems Fault Detection

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funder: Natural Science Foundation of Guangdong Province

Award: G8273856613

OpenAlex ID: W4411358595

FWCI: 2.681

Cites: 37

Cited by: 7

Related to: 10