XGBoost-Based Power Grid Fault Prediction with Feature Enhancement: Application to Meteorology
The prediction of power grid faults based on meteorological factors is of great significance to reduce economic losses caused by power grid faults. However, the existing methods fail to effectively extract key features and ac... | Find, read and cite all the research you need on Tech Science Press
Authors
- Meizhao Liu (ORCID: https://orcid.org/0009-0004-3461-8367)
- Junwu Zhu (ORCID: https://orcid.org/0000-0002-7518-9683)
- Chen Zhang (ORCID: https://orcid.org/0000-0002-2808-8492)
- Kai Liu (ORCID: https://orcid.org/0000-0002-5500-0644)
- Ming Tang (ORCID: https://orcid.org/0000-0002-6786-3201)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-11-20
- DOI
- https://doi.org/10.32604/cmc.2024.057074
- Citations
- 4
- Primary Topic
- Power Systems Fault Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- Science and Technology Project of State Grid
- State Grid Jiangsu Electric Power