Prediction of appliances energy use in smart homes

被引：96
|
作者：
Arghira, Nicoleta [1 ,2 ]
Hawarah, Lamis [1 ]
Ploix, Stephane [1 ]
Jacomino, Mireille [1 ]
机构：
[1] Grenoble Inst Technol, Lab Sci Concept Optimisat & Prod Grenoble, Grenoble, France
[2] Univ Politehn Bucuresti, Dept Automat Control & Ind Informat, Bucharest, Romania
来源：
ENERGY | 2012年 / 48卷 / 01期
关键词：
Smart home; Prediction; Energy consumption; Stochastic process;
D O I：
10.1016/j.energy.2012.04.010
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
This paper presents methods for prediction of energy consumption of different appliances in homes. The aim is to predict the next day electricity consumption for some services in homes. Historical data for a set of homes in France was used. Two basic predictors are tested and a stochastic based predictor is proposed. The performance of the predictors is studied and it shows that the proposed predictor gives better results than other approaches. Two processings are proposed to improve the performance of the predictor, segmentation and aggregation of data. Application results are provided. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：128 / 134
页数：7
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