{"title":"能源大数据平台需求响应操作方法","authors":"Tai-Yeon Ku, Wan-ki Park, Hoon Choi","doi":"10.1109/ICUFN.2018.8436753","DOIUrl":null,"url":null,"abstract":"Energy management system should predict the future energy use and generation amount for the optimal operation of ESS based on the measured energy amount, renewable energy production amount and energy usage, and establish the operation plan. In this paper, we describe the technologies that can be saved through the analysis of big data of energy resources for renewable energy and present Demand Response Operation Method through big data analysis. Through this technology, it is possible to find new information by discovering patterns and correlations hidden in data, and to respond appropriately when issuing DR.","PeriodicalId":224367,"journal":{"name":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"314 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Demand Response Operation Method on Energy Big Data Platform\",\"authors\":\"Tai-Yeon Ku, Wan-ki Park, Hoon Choi\",\"doi\":\"10.1109/ICUFN.2018.8436753\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy management system should predict the future energy use and generation amount for the optimal operation of ESS based on the measured energy amount, renewable energy production amount and energy usage, and establish the operation plan. In this paper, we describe the technologies that can be saved through the analysis of big data of energy resources for renewable energy and present Demand Response Operation Method through big data analysis. Through this technology, it is possible to find new information by discovering patterns and correlations hidden in data, and to respond appropriately when issuing DR.\",\"PeriodicalId\":224367,\"journal\":{\"name\":\"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"volume\":\"314 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUFN.2018.8436753\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN.2018.8436753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demand Response Operation Method on Energy Big Data Platform
Energy management system should predict the future energy use and generation amount for the optimal operation of ESS based on the measured energy amount, renewable energy production amount and energy usage, and establish the operation plan. In this paper, we describe the technologies that can be saved through the analysis of big data of energy resources for renewable energy and present Demand Response Operation Method through big data analysis. Through this technology, it is possible to find new information by discovering patterns and correlations hidden in data, and to respond appropriately when issuing DR.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
