An incremental algorithm for discovering routine behaviours from smart meter data

作者：

Highlights：

• Routine behaviour is defined to characterize recurrent water use activities.

• An efficient algorithm is proposed to discover routines by incrementally growing subsequences.

• Useful domain knowledge is extracted from industry datasets based on discovered routines.

摘要

•Routine behaviour is defined to characterize recurrent water use activities.•An efficient algorithm is proposed to discover routines by incrementally growing subsequences.•Useful domain knowledge is extracted from industry datasets based on discovered routines.

论文关键词：Smart metering,Routine behaviour,Subsequence growing,Motif detection

论文评审过程：Received 13 January 2016, Revised 13 September 2016, Accepted 18 September 2016, Available online 28 September 2016, Version of Record 20 October 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.09.016