期刊论文

Application of Outlier Detection in University of Energy Monitoring System

中文

南华大学学报(自然科学版)

1673-0062

2014

2

89-93

10.19431/j.cnki.1673-0062.2014.02.020

本校为第一机构

节能是当今社会面临的重大课题,高校作为能源大户以及教书育人的基地,必须在能耗监控系统中起到领先示范的作用。在节能分析系统中,能耗的预警预测是关键,因此,异常点的发现与分析,为预警提供了直接的依据,是整个系统的基础。在数据挖掘中,离群点检测分析可以通过多种方法实现,本文应用了基于统计分布的离群点检测方法,但由于在实际情况中,能耗数据的变化与社会各类群体的生活习性、工作周期相关,这些复杂性决定了在数据分析中,只能根据实际的业务来检验分析结果的正确性。本文通过对某高校的能耗进行基于统计分布的离群点分析,并结合校园能耗规律,得出在高校中能耗的异常情况并报警,以达到节约...

Energy conservation is a major issue in today’s society,as the teaching base of energy-hungry,colleges must play a leading role in energy consumption monitoring sys-tem. Early warning and forecast energy consumption is the key in the energy analysis, thus detection and analysis outliers is the foundation of the whole system and provides a direct basis for early warning. In data mining, outlier detection has several ways to a-chieve. This paper is based on the statistical distribution of outlier detection methods. However,as in reality,changes ...