Quality Analysis Method Design for Data from Power Consumption Information Collection System

DOI

10.2991/ammsa-18.2018.22How to use a DOI?

Keywords

data quality analysis; big data; data from power consumption information collection system; data statistics; data mining

Abstract

In the era of big data, the data contains enormous value, and data quality is an important prerequisite for obtaining data value through data analysis and mining. Starting from the definition of data quality, the article first introduced the importance and main indicators of data quality analysis, then analyzed the sources and main characteristics of data collected by electricity consumption in detail. It proposed a quality analysis method based on big data statistical analysis and big data mining analysis, and detailed information were introduced in terms of key technologies, analysis procedures, and indicator design. Finally, an application verification and a simple summary of quality analysis method were given.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sen Pan
AU  - Junfeng Qiao
AU  - Jing Jiang
PY  - 2018/05
DA  - 2018/05
TI  - Quality Analysis Method Design for Data from Power Consumption Information Collection System
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 101
EP  - 104
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.22
DO  - 10.2991/ammsa-18.2018.22
ID  - Pan2018/05
ER  -