A time-series clustering methodology for knowledge extraction in energy consumption data

作者：

Highlights：

• Our proposal introduces a methodology from raw energy usage data to feasible knowledge discovery.

• Clustering analysis reveals different patterns of buildings behavior in time.

• Time-series clustering analysis applied to energy modelling in public buildings.

摘要

•Our proposal introduces a methodology from raw energy usage data to feasible knowledge discovery.•Clustering analysis reveals different patterns of buildings behavior in time.•Time-series clustering analysis applied to energy modelling in public buildings.

论文关键词：Time-series clustering,Energy efficiency,Knowledge extraction,Data mining

论文评审过程：Received 29 May 2019, Revised 17 April 2020, Accepted 6 July 2020, Available online 11 July 2020, Version of Record 20 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113731