Short-Term Load Forecasting of EV Charging Stations via Adaptive K-means Clustering and Deep Hybrid Networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	2025 12th International Conference on Power and Energy Systems Engineering (CPESE 2025)
Place of Publication	University of Kyushu, Japan
Publication status	Published - Sept 2025

Cite this

@inproceedings{e7306ba7c1e44afc9fabca31a422a94b,

title = "Short-Term Load Forecasting of EV Charging Stations via Adaptive K-means Clustering and Deep Hybrid Networks",

author = "Disen Hu and Ye He and Wu, \{Yang Andrew\} and Hongbin Wu",

year = "2025",

month = sep,

language = "English",

booktitle = "2025 12th International Conference on Power and Energy Systems Engineering (CPESE 2025)",

}

Short-Term Load Forecasting of EV Charging Stations via Adaptive K-means Clustering and Deep Hybrid Networks. / Hu, Disen; He, Ye; Wu, Yang Andrew et al.
2025 12th International Conference on Power and Energy Systems Engineering (CPESE 2025). University of Kyushu, Japan, 2025.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Short-Term Load Forecasting of EV Charging Stations via Adaptive K-means Clustering and Deep Hybrid Networks

AU - Hu, Disen

AU - He, Ye

AU - Wu, Yang Andrew

AU - Wu, Hongbin

PY - 2025/9

Y1 - 2025/9

M3 - Conference contribution

BT - 2025 12th International Conference on Power and Energy Systems Engineering (CPESE 2025)

CY - University of Kyushu, Japan

ER -