A Study on Various Methods for Mining Energy Consumption pattern from Smart Home Big Data

International Conference on Recent Advancements and Effectual Researches in Engineering Science and Technology

John, Jemeema Maria^1 ; Roy, Hima Anns^1

Department of Computer Science and Engineering, St Joseph's College of Engineering and Technology, Palai, India^1

关键词: Consumption patterns;    Electrical energy consumption;    Energy management plan;    Large volumes;    Smart homes;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/396/1/012023/pdf
DOI  :  10.1088/1757-899X/396/1/012023

来源: IOP

【 摘 要 】

Houses are the main source of electrical energy consumption. Getting information about energy consumption pattern from smart homes are of vital importance. It helps in analyzing the behaviour of inhabitants and that of the equipments. Smart meters in homes collect large volume of data each day. Data mining techniques can be used to get relevant information from the smart home big data. Data mining helps in easily predicting the consumption patterns of various equipments. Forecasting energy consumption pattern helps in better energy management plans. The techniques that are used for mining and predicting energy consumption patterns are mentioned in this paper.