Automotive
Technical Paper

Short-Term Sag Prediction Approach Based on XGBoost Combining Monotonic Constraints with EMA Features

2026-99-0755

5/15/2026

Features
Event
Interntional Conference on the New Energy and Intelligent Vehicles
Authors
Xingyu Li Anhui Power Transmission & Transformation Engineering Co
Shizhong Lin Anhui Power Transmission & Transformation Engineering Co
Zhan Shao Anhui Power Transmission & Transformation Engineering Co
Shicheng Cui Graduate College for Engineers, Hefei University of Technolo
Ruiduan Chen Graduate College for Engineers, Hefei University of Technolo
He Luo Engineering Research Center for Intelligent Management of Ae
Abstract
Content
2
Meta Tags
Topics
Electric power grid
Education and training
Icing and ice detection
Transmissions
Measurements
Reliability
Affiliated or Co-Author
Anhui Power Transmission & Transformation Engineering Co
Graduate College for Engineers, Hefei University of Technolo
Engineering Research Center for Intelligent Management of Ae
Details
DOI
https://doi.org/10.4271/2026-99-0755
Citation
Li, X., Lin, S., Shao, Z., Cui, S., et al., "Short-Term Sag Prediction Approach Based on XGBoost Combining Monotonic Constraints with EMA Features," Interntional Conference on the New Energy and Intelligent Vehicles, Hefei, China, November 2, 2025, https://doi.org/10.4271/2026-99-0755.
Additional Details
Publisher
SAE International
Published
May 15
Product Code
2026-99-0755
Content Type
Technical Paper
Language
English