Spatiotemporal Joint Cleaning of Distribution Network Measurement Data Based on Correntropy Criterion with Variable Center Unscented Kalman Filter

Spatiotemporal Joint Cleaning of Distribution Network Measurement Data Based on Correntropy Criterion with Variable Center Unscented Kalman Filter

Measurement data cleaning is a key step of edge computing in a distribution network; it is beneficial to improve the state perception and regional autonomy level of a distribution network. According to the temporal and spatial correlation of measurement data in the distribution network, a joint clea...

Full description

Bibliographic Details
Main Authors: Zhenglong Sun, Chuanlin Liu, Baihan Liu, Jun Zhou, Chen Chen, Qipeng Song
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
data cleaning
CC-VC
spatiotemporal union
spatial measurement deviation
Kalman algorithm
Online Access:https://www.mdpi.com/2076-3417/12/17/8436

Internet

https://www.mdpi.com/2076-3417/12/17/8436

Similar Items