| 注册
首页|期刊导航|CSEE Journal of Power and Energy Systems|Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems

Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems

Wanxing Sheng Huaitian Zhang Keyan Liu Xiaoli Meng

CSEE Journal of Power and Energy Systems2024,Vol.10Issue(6):P.2631-2638,8.
CSEE Journal of Power and Energy Systems2024,Vol.10Issue(6):P.2631-2638,8.DOI:10.17775/CSEEJPES.2020.05010

Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems

Wanxing Sheng 1Huaitian Zhang 1Keyan Liu 1Xiaoli Meng1

作者信息

  • 1. China Electric Power Research Institute(CEPRI),Beijing 100192,China
  • 折叠

摘要

关键词

Data quality improvement/KLD resampling/particle filter/power and energy system/unscented Kalman filter

分类

信息技术与安全科学

引用本文复制引用

Wanxing Sheng,Huaitian Zhang,Keyan Liu,Xiaoli Meng..Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems[J].CSEE Journal of Power and Energy Systems,2024,10(6):P.2631-2638,8.

基金项目

supported by China Electric Power Research Institute Innovation Fund Program:Research on inexact data correction and association method for D-IoT(5242001900DS)。 (5242001900DS)

CSEE Journal of Power and Energy Systems

OACSTPCDEI

2096-0042

访问量0
|
下载量0
段落导航相关论文