{"title":"Customer-centric energy usage data management and sharing in smart grid systems","authors":"Gaurav Lahoti, D. Mashima, Wei-Peng Chen","doi":"10.1145/2516930.2516935","DOIUrl":null,"url":null,"abstract":"A recent study revealed that fine-grained energy usage data could potentially leak sensitive information about an electricity customer. On the other hand, a number of online service providers utilizing such data have emerged and improved effectiveness of smart grid technologies (for instance, demand-response aggregators), and therefore sharing of data is getting popular. In this work, we propose a customer-centric framework to manage, store, and share energy usage data in a privacy-enhanced way. We present a mechanism to enable customers to flexibly control the amount of energy usage information disclosed while still allowing third-party service providers to be convinced of the authenticity of data. A prototype implementation using the widely used Green Button data model is presented and evaluated. We further discuss the design of a demand-response aggregation service on top of the proposed framework.","PeriodicalId":303004,"journal":{"name":"ACM workshop on Smart Energy Grid Security","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM workshop on Smart Energy Grid Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2516930.2516935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
A recent study revealed that fine-grained energy usage data could potentially leak sensitive information about an electricity customer. On the other hand, a number of online service providers utilizing such data have emerged and improved effectiveness of smart grid technologies (for instance, demand-response aggregators), and therefore sharing of data is getting popular. In this work, we propose a customer-centric framework to manage, store, and share energy usage data in a privacy-enhanced way. We present a mechanism to enable customers to flexibly control the amount of energy usage information disclosed while still allowing third-party service providers to be convinced of the authenticity of data. A prototype implementation using the widely used Green Button data model is presented and evaluated. We further discuss the design of a demand-response aggregation service on top of the proposed framework.