{"title":"基于电力需求预测的调峰系统经济评价","authors":"M. Shimoda, T. Yachi, Y. Kanai","doi":"10.1109/INTLEC.2015.7572426","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new power peak shifting system that uses demand forecasting. The study is based on the assumption that a dynamic pricing system has been introduced to an office equipped with a data center. In addition, we report on the results of simulations that show our proposed peak shifting scheme improves system utility and strength through increased economic efficiency, even when the initial costs of supplementary power equipment such as photovoltaic systems and storage batteries are factored in.","PeriodicalId":211948,"journal":{"name":"2015 IEEE International Telecommunications Energy Conference (INTELEC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Economic evaluation of peak shift system using power demand forecasting\",\"authors\":\"M. Shimoda, T. Yachi, Y. Kanai\",\"doi\":\"10.1109/INTLEC.2015.7572426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new power peak shifting system that uses demand forecasting. The study is based on the assumption that a dynamic pricing system has been introduced to an office equipped with a data center. In addition, we report on the results of simulations that show our proposed peak shifting scheme improves system utility and strength through increased economic efficiency, even when the initial costs of supplementary power equipment such as photovoltaic systems and storage batteries are factored in.\",\"PeriodicalId\":211948,\"journal\":{\"name\":\"2015 IEEE International Telecommunications Energy Conference (INTELEC)\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Telecommunications Energy Conference (INTELEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTLEC.2015.7572426\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Telecommunications Energy Conference (INTELEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTLEC.2015.7572426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Economic evaluation of peak shift system using power demand forecasting
In this paper, we propose a new power peak shifting system that uses demand forecasting. The study is based on the assumption that a dynamic pricing system has been introduced to an office equipped with a data center. In addition, we report on the results of simulations that show our proposed peak shifting scheme improves system utility and strength through increased economic efficiency, even when the initial costs of supplementary power equipment such as photovoltaic systems and storage batteries are factored in.