R. Pereira, R. Melício, V. Mendes, J. Figueiredo, J. Martins, A. Fagundes, J. Quadrado
{"title":"基于模糊聚类的智能电网应急需求响应模型","authors":"R. Pereira, R. Melício, V. Mendes, J. Figueiredo, J. Martins, A. Fagundes, J. Quadrado","doi":"10.1109/SPEEDAM.2014.6872122","DOIUrl":null,"url":null,"abstract":"This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.","PeriodicalId":344918,"journal":{"name":"2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fuzzy clustering applied to a demand response model in a smart grid contingency scenario\",\"authors\":\"R. Pereira, R. Melício, V. Mendes, J. Figueiredo, J. Martins, A. Fagundes, J. Quadrado\",\"doi\":\"10.1109/SPEEDAM.2014.6872122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.\",\"PeriodicalId\":344918,\"journal\":{\"name\":\"2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPEEDAM.2014.6872122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEEDAM.2014.6872122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy clustering applied to a demand response model in a smart grid contingency scenario
This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
