Characterizing Long Memories in Electric Water Heater Power Consumption Time Series

被引：0

作者：

Ye, Xianming ^{[1
]}

Xia, Xiaohua ^{[1
]}

Zhang, Jiangfeng ^{[1
]}

Chen, YangQuan ^{[2
]}

机构：

[1] Univ Pretoria, Ctr New Energy Syst CNES, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa

[2] Utah State Univ, CSOIS, Dept Elect & Comp Engn, Logan, UT 84322 USA

来源：

IEEE AFRICON 2011 | 2011年

关键词：

MODEL;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents some empirical studies on the long memory properties in the time series of averaged electric water heater power consumption in an assemble of communities in two different geographical locations in South Africa. The long memory property in the power consumption time series is characterized by using the fractional order signal processing method. Results shows that the memory parameters in different communities in two different geographical locations are distinct.

引用

页数：6

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