{"title":"具有动态能源市场的物联网智能电网中的负荷预测和负荷流模式研究","authors":"Kshama Dwarakanath","doi":"10.1109/ICCE-ASIA.2017.8309318","DOIUrl":null,"url":null,"abstract":"Smart Grid and Internet of Things (IoT) are the latest trends respectively in the domains of Power Engineering and Computer Science. The amalgamation of the two presents enormous potential to improve the efficiency, security and reliability of the power grid. In this paper, the authors review existing solutions and propose their ideas, as an improvement over existing techniques to realise the idea of a Smart Grid and a competitive Energy market by application of Mathematical and Statistical tools to analyse and predict load demand as well as agent behaviour in the present scenario.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market\",\"authors\":\"Kshama Dwarakanath\",\"doi\":\"10.1109/ICCE-ASIA.2017.8309318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart Grid and Internet of Things (IoT) are the latest trends respectively in the domains of Power Engineering and Computer Science. The amalgamation of the two presents enormous potential to improve the efficiency, security and reliability of the power grid. In this paper, the authors review existing solutions and propose their ideas, as an improvement over existing techniques to realise the idea of a Smart Grid and a competitive Energy market by application of Mathematical and Statistical tools to analyse and predict load demand as well as agent behaviour in the present scenario.\",\"PeriodicalId\":202045,\"journal\":{\"name\":\"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)\",\"volume\":\"160 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-ASIA.2017.8309318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-ASIA.2017.8309318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market
Smart Grid and Internet of Things (IoT) are the latest trends respectively in the domains of Power Engineering and Computer Science. The amalgamation of the two presents enormous potential to improve the efficiency, security and reliability of the power grid. In this paper, the authors review existing solutions and propose their ideas, as an improvement over existing techniques to realise the idea of a Smart Grid and a competitive Energy market by application of Mathematical and Statistical tools to analyse and predict load demand as well as agent behaviour in the present scenario.