Fault detection analysis using data mining techniques for a cluster of smart office buildings

作者：

Highlights：

• An energy fault detection analysis was performed for a cluster of buildings.

• Pattern recognition techniques coupled with outliers detection methods were used.

• Anomalies are detected during early morning, lunch break, and end of working hours.

• The methodology can be easily implemented in BEMS.

摘要

•An energy fault detection analysis was performed for a cluster of buildings.•Pattern recognition techniques coupled with outliers detection methods were used.•Anomalies are detected during early morning, lunch break, and end of working hours.•The methodology can be easily implemented in BEMS.

论文关键词：Smart building,ANN,Pattern recognition,Fault detection

论文评审过程：Available online 17 January 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.010