Rule-based system to detect energy efficiency anomalies in smart buildings, a data mining approach
作者：
Highlights：
• Automatic system to detect energy efficiency anomalies in smart buildings.
• Definition and testing of energy efficiency indicators to quantify energy savings.
• Knowledge extraction from data and HVAC experts through Data Mining techniques.
• In this study a full set of anomalous EE consumption patterns are detected.
• During test period more than 10% of day presented a kind of EE anomaly.
摘要
•Automatic system to detect energy efficiency anomalies in smart buildings.•Definition and testing of energy efficiency indicators to quantify energy savings.•Knowledge extraction from data and HVAC experts through Data Mining techniques.•In this study a full set of anomalous EE consumption patterns are detected.•During test period more than 10% of day presented a kind of EE anomaly.
论文关键词：Energy efficiency,Smart building,Energy efficiency indicators,Analytics,Expert System,Decision support system
论文评审过程：Received 14 October 2015, Revised 2 March 2016, Accepted 3 March 2016, Available online 10 March 2016, Version of Record 28 March 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.002
