A method of power grid mass data preprocessing

Author

Liu, Junzhou ; Liu, Jianfeng

Author_Institution

State Grid Corp. of China, NARI Technol. Dev. Co., Ltd., Nanjing, China

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

949

Lastpage

952

Abstract

This paper proposes a method of power grid mass data preprocessing. It makes depth analysis about characteristics of smart grid mass flow data and historical data. Smart grid knowledge classification models are designed according to their characteristics. And it gives the method of power grid knowledge extraction method. It used the sliding window model, discrete wavelet transform and improved SSWAT algorithm to preprocess stream data; The data are preprocessed has many advantages such as reliability, real time, high transfer speed and so on. The data can be access information integration platform.

Keywords

data analysis; data preparation; discrete wavelet transforms; knowledge acquisition; power engineering computing; smart power grids; access information integration platform; data preparation; discrete wavelet transform; improved SSWAT algorithm; power grid knowledge extraction method; power grid mass data preprocessing method; sliding window model; smart grid knowledge classification models; smart grid mass flow data analysis; Algorithm design and analysis; Data models; Data preprocessing; Discrete wavelet transforms; Real time systems; Signal processing algorithms; SSWAT; sliding window; smart grid; stream data;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6057992

Filename

6057992