A Decision Support System Using Two-Level Classifier For Smart Grid

被引：4

作者：

Chen, Huajun ^{[1
]}

Yang, Hang ^{[1
]}

Xu, Aidong ^{[1
]}

Yuan, Cai ^{[2
]}

机构：

[1] China Southern Power Grid, Elect Power Res Inst, Guangzhou, Guangdong, Peoples R China

[2] Hainan Power Grid Corp, Haikou, Peoples R China

来源：

2014 NINTH INTERNATIONAL CONFERENCE ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC) | 2014年

关键词：

decision tree; classification; data mining;

D O I：

10.1109/3PGCIC.2014.35

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Today, big data is not only the data scenario with large volume, but also high-speed and changing all the time. Such data streams commonly exist in Smart Grid facilities. Decision tree as one of the most widely-used analysis methods, has been applied in the decision support system for smart grid. This paper proposes a two-level classifier combining cache-based classifier and incremental decision tree learning, instead of the tree inductions using Hoeffding bound. The simulation result shows that the proposed approach has better accuracy. The combined method can handle high-speed data streams collected from power grid units.

引用

页码：42 / 45

页数：4