Congruent modelling as a tool for forecasting of households electricity consumption

W. Grycan
{"title":"Congruent modelling as a tool for forecasting of households electricity consumption","authors":"W. Grycan","doi":"10.1109/PAEE.2016.7605125","DOIUrl":null,"url":null,"abstract":"Due to the high variability of energy consumption over time and the impossibility of its long-term storage, an important issue is the selection of appropriate precise tools for forecasting. The article describes the dynamic modelling and the results of predictive dynamic models developed for a group of individual customers. The results were evaluated on the basis of real data about consumption of electric energy and some forecasts using those models were created.","PeriodicalId":165474,"journal":{"name":"2016 Progress in Applied Electrical Engineering (PAEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Progress in Applied Electrical Engineering (PAEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PAEE.2016.7605125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Due to the high variability of energy consumption over time and the impossibility of its long-term storage, an important issue is the selection of appropriate precise tools for forecasting. The article describes the dynamic modelling and the results of predictive dynamic models developed for a group of individual customers. The results were evaluated on the basis of real data about consumption of electric energy and some forecasts using those models were created.
作为家庭用电量预测工具的一致性模型
由于能源消耗随时间的高度可变性和不可能长期储存,一个重要的问题是选择适当的精确预测工具。本文描述了动态建模和为一组个人客户开发的预测动态模型的结果。根据实际的电能消耗数据对模型结果进行了评价,并利用这些模型进行了预测。
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:604180095
Book学术官方微信