Electricity customer characterization based on different representative load curves

I. Panapakidis, M. Alexiadis, G. Papagiannis
{"title":"Electricity customer characterization based on different representative load curves","authors":"I. Panapakidis, M. Alexiadis, G. Papagiannis","doi":"10.1109/EEM.2012.6254761","DOIUrl":null,"url":null,"abstract":"Load profiling provides the necessary information about daily demand patterns for the short and medium-term actions οf retailers and utilities. Consumer characterization is a two stage approach: In the first stage, the daily load curves of each consumer are classified in a certain number of clusters. Each cluster constitutes a load profile. In the second stage, one of these profiles is chosen as representative for the consumer and a new classification takes places between the load profiles of each customer, leading to the formulation of customer classes. This paper examines various approaches for the formulation of the consumer classes during the first stage. A specific profile is chosen and the second stage procedure takes place. A criterion based on cost of purchased electricity is introduced in order to evaluate the results of the clustering of the second stage.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th International Conference on the European Energy Market","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEM.2012.6254761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

Load profiling provides the necessary information about daily demand patterns for the short and medium-term actions οf retailers and utilities. Consumer characterization is a two stage approach: In the first stage, the daily load curves of each consumer are classified in a certain number of clusters. Each cluster constitutes a load profile. In the second stage, one of these profiles is chosen as representative for the consumer and a new classification takes places between the load profiles of each customer, leading to the formulation of customer classes. This paper examines various approaches for the formulation of the consumer classes during the first stage. A specific profile is chosen and the second stage procedure takes place. A criterion based on cost of purchased electricity is introduced in order to evaluate the results of the clustering of the second stage.
基于不同代表性负荷曲线的电力用户特征
负载分析为零售商和公用事业公司的短期和中期行动提供了关于日常需求模式的必要信息。消费者表征是一个两阶段的方法:第一阶段,将每个消费者的日负荷曲线分类到一定数量的集群中。每个集群构成一个负载配置文件。在第二阶段,选择其中一个配置文件作为消费者的代表,并在每个客户的负载配置文件之间进行新的分类,从而形成客户类别。本文考察了在第一阶段制定消费者阶层的各种方法。选择一个特定的概要文件,然后进行第二阶段的程序。为了对第二阶段的聚类结果进行评价,引入了基于购电成本的聚类准则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信