F. Mouelhi, H. Ben Attia Sethom, I. Slama-Belkhodja
{"title":"Fast event detection method for residential load Demand Side Management","authors":"F. Mouelhi, H. Ben Attia Sethom, I. Slama-Belkhodja","doi":"10.1109/CISTEM.2014.7077031","DOIUrl":null,"url":null,"abstract":"This paper focuses on the application of fast event detection algorithm, to be implemented in a Demand Side Management (DSM) program for Home Energy Management Systems (HEMS). Such HEMS are especially challenging when renewable generation and storage are available, and when electrical demand has to be coordinated with available generation by shifting residential loads which requires load event detection. In this work, we propose a simple and fast load event detection which allows to keep more software and hardware resources for load identification algorithm. Experimental results are performed on some residential loads such as lighting (LED and Compact fluorescent lamp), Kettle and refrigerator to prove the effectiveness of the proposed approach.","PeriodicalId":115632,"journal":{"name":"2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISTEM.2014.7077031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper focuses on the application of fast event detection algorithm, to be implemented in a Demand Side Management (DSM) program for Home Energy Management Systems (HEMS). Such HEMS are especially challenging when renewable generation and storage are available, and when electrical demand has to be coordinated with available generation by shifting residential loads which requires load event detection. In this work, we propose a simple and fast load event detection which allows to keep more software and hardware resources for load identification algorithm. Experimental results are performed on some residential loads such as lighting (LED and Compact fluorescent lamp), Kettle and refrigerator to prove the effectiveness of the proposed approach.