基于负荷曲线分析的稳健电力消费预测

Mădălina Arhip-Călin, Cristian-Cornel Andrei, Gabriel Tudor, Alexandru Zamfirescu, Grațian Fierăscu, G. Seritan
{"title":"基于负荷曲线分析的稳健电力消费预测","authors":"Mădălina Arhip-Călin, Cristian-Cornel Andrei, Gabriel Tudor, Alexandru Zamfirescu, Grațian Fierăscu, G. Seritan","doi":"10.1109/ISFEE51261.2020.9756157","DOIUrl":null,"url":null,"abstract":"The transition towards smart grid encompasses a greater attention paid to the energy efficiency. This aspect is of a great importance when we discuss the utilities’ impact on the overall electric energy consumption bill. In this paper we analyzed the importance of knowing the electricity consumption profile of users, as a paramount importance in the advent of local energy market for microgrids. The research effort was divided into two directions. The first was to identify electricity consumption over a one-week period of the Power Engineering Faculty building, and the second direction was to analyze the values obtained from the measurements. The analysis involved plotting the graphs that show the shape of the load curves at hourly intervals, thus allowing for predictions, and identification of consumption peculiarities, for enhanced forecasts.","PeriodicalId":145923,"journal":{"name":"2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust Electricity Consumption Forecast Based on Load Curves Analysis\",\"authors\":\"Mădălina Arhip-Călin, Cristian-Cornel Andrei, Gabriel Tudor, Alexandru Zamfirescu, Grațian Fierăscu, G. Seritan\",\"doi\":\"10.1109/ISFEE51261.2020.9756157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The transition towards smart grid encompasses a greater attention paid to the energy efficiency. This aspect is of a great importance when we discuss the utilities’ impact on the overall electric energy consumption bill. In this paper we analyzed the importance of knowing the electricity consumption profile of users, as a paramount importance in the advent of local energy market for microgrids. The research effort was divided into two directions. The first was to identify electricity consumption over a one-week period of the Power Engineering Faculty building, and the second direction was to analyze the values obtained from the measurements. The analysis involved plotting the graphs that show the shape of the load curves at hourly intervals, thus allowing for predictions, and identification of consumption peculiarities, for enhanced forecasts.\",\"PeriodicalId\":145923,\"journal\":{\"name\":\"2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISFEE51261.2020.9756157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISFEE51261.2020.9756157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

向智能电网的过渡包含了对能源效率的更多关注。当我们讨论公用事业对整体电力消耗账单的影响时,这方面是非常重要的。在本文中,我们分析了了解用户电力消费概况的重要性,作为微电网本地能源市场出现的重中之重。研究工作分为两个方向。第一个方向是确定动力工程学院大楼一周内的用电量,第二个方向是分析从测量中获得的值。分析包括绘制显示每小时负荷曲线形状的图表,从而允许进行预测,并识别消费特性,以增强预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Electricity Consumption Forecast Based on Load Curves Analysis
The transition towards smart grid encompasses a greater attention paid to the energy efficiency. This aspect is of a great importance when we discuss the utilities’ impact on the overall electric energy consumption bill. In this paper we analyzed the importance of knowing the electricity consumption profile of users, as a paramount importance in the advent of local energy market for microgrids. The research effort was divided into two directions. The first was to identify electricity consumption over a one-week period of the Power Engineering Faculty building, and the second direction was to analyze the values obtained from the measurements. The analysis involved plotting the graphs that show the shape of the load curves at hourly intervals, thus allowing for predictions, and identification of consumption peculiarities, for enhanced forecasts.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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