Cloud platform operating data preprocessing method based on I-GMM algorithm

Preprocessing the data stored in the smart grid cloud platform can greatly improve the quality of the data, thereby improving the efficiency of data analysis. Based on the distributed architecture of cloud computing, this paper uses the improved GMM model to design a power grid data preprocessing me...

Full description

Saved in:
Bibliographic Details
Main Authors: Li, Weiliang, Zhang, Xiaoliang, Dong, Yaozhong, Liu, Yuecan, Chao, Kai
Format: Conference Proceeding
Language:English
Subjects:
Cloud computing
Computational modeling
Computer architecture
Data analysis
data cleaning
Data models
Data preprocessing
GMM
Smart grids
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Preprocessing the data stored in the smart grid cloud platform can greatly improve the quality of the data, thereby improving the efficiency of data analysis. Based on the distributed architecture of cloud computing, this paper uses the improved GMM model to design a power grid data preprocessing method. This method first builds a smart grid cloud platform based on the cloud computing architecture. Then perform data cleaning on the stored grid data on the cloud platform. Finally, the improved GMM model is used to classify and store the grid data to complete the preprocessing of the data. Finally, the effect of this method is verified through experiment.
ISSN:2689-6621
DOI:10.1109/IAEAC50856.2021.9390724