作者
Zhichuan Huang, Hongyao Luo, David Skoda, Ting Zhu, Yu Gu
发表日期
2014/10/27
研讨会论文
2014 IEEE International Conference on Big Data (Big Data)
页码范围
656-665
出版商
IEEE
简介
To reduce peak demand, many utility companies are transitioning from fixed rate pricing plans to real-time pricing plans. To apply real-time pricing plans, it is crucial to collect accurate real-time power consumption readings from individual homes. Thus, utility companies are increasing the installation of smart meters in individual homes. Smart meters can record energy related data (e.g., power consumption) every second. However, power consumption data with high time granularity needs huge data storage space and generates significant communication overhead for utility companies to gather all the data for the pricing plans. In this paper, we present E-Sketch, a middleware for utility companies to gather data from smart meters with much less storage and communication overhead. E-Sketch utilizes adaptive sampling to compress power consumption changes in time domain. Then frequency compression is applied …
引用总数
201420152016201720182019202020212022202320242442361211
学术搜索中的文章
Z Huang, H Luo, D Skoda, T Zhu, Y Gu - 2014 IEEE International Conference on Big Data (Big …, 2014