Analysis of Smart Meter Data for Electricity Consumers

被引：0
|
作者：
Dudek, Grzegorz [1 ]
Gawlak, Anna [1 ]
Kornatka, Miroslaw [1 ]
Szkutnik, Jerzy [2 ]
机构：
[1] Czestochowa Tech Univ, Fac Elect Engn, Czestochowa, Poland
[2] Czestochowa Tech Univ, Fac Management, Czestochowa, Poland
来源：
2018 15TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM) | 2018年
关键词：
Smart metering; Energy consumption analysis; Smart meter data analytics;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Smart meter systems are being deployed to improve grid reliability and promote energy efficiency while providing improved services to their customers. Smart metering which is installed in millions of households worldwide provides utility companies with real-time meaningful and timely data about electricity consumption and allow customers to make informed choices about energy usage. Smart meter data analytics has become an active area in research and industry. It aims to help utilities and consumers understand electricity consumption patterns. This paper provides analysis methods for load data including: analysis of daily load profiles and similarity between them, analysis of load density, and analysis of seasonal and irregular components in the load time series. We evaluate our approach by analyzing smart meter data collected from 1000 households in Poland at a 15-minute granularity over a period of one year.
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页数：5
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