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Updated: Jan 15, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

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基于K-Medoids集群和多因素优化分解的电动汽车充电站的短期充电负载预测研究

Hanting Li1, Minan Tang2, Jie Cao3,4

  • 1School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.

Scientific reports
|October 15, 2025
PubMed
概括

正确的电动汽车充电负载预测是具有挑战性的,因为充电行为波动. 使用K-Medoids集群和Crested Porcupine Optimizer-Variational Mode Decomposition-Bidirectional Gate Recurrent Unit的新型组合模型显著提高了短期预测的准确性.

关键词:
充电站 充电站 充电站电动汽车电动汽车是什么负载预测 负载预测神经网络的神经网络的神经网络

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