Skip to content
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Conference paper

A Data-Driven Intelligent Faults Identification Method for Power Grid Considering the Fault Characteristics of Inverter-Interfaced Renewable Energy Sources

Li Zhang; Shengnan Li; Shoudong Xu; Xin Zhou; Shuyong Li; Qinlei Chen; Jiaze Yang

Published
Publisher
IEEE
Journal / collection
2025 9th International Conference on Power Energy Systems and Applications (ICoPESA)
Research area
Energy & infrastructure
Source type
Conference paper
DOI
10.1109/icopesa65876.2025.11234473

Read the original source ↗

The original publisher provides the full text and its access options.

Cite this source

Li Zhang; Shengnan Li; Shoudong Xu; Xin Zhou; Shuyong Li; Qinlei Chen; Jiaze Yang. A Data-Driven Intelligent Faults Identification Method for Power Grid Considering the Fault Characteristics of Inverter-Interfaced Renewable Energy Sources. 2025 9th International Conference on Power Energy Systems and Applications (ICoPESA). 2025-06-20. https://doi.org/10.1109/icopesa65876.2025.11234473

Download RIS