Machine learning approaches for non-intrusive home absence detection based on appliance electrical use

作者：

Highlights：

• Home absence detection using appliance electricity use is feasible.

• Most common machine learning algorithms provided solid results.

• C4.5 trees had an overall better performance.

• A dataset with appliance electric consumption and home absence ground truth is needed.

摘要

•Home absence detection using appliance electricity use is feasible.•Most common machine learning algorithms provided solid results.•C4.5 trees had an overall better performance.•A dataset with appliance electric consumption and home absence ground truth is needed.

论文关键词：Outing detection,Smart home,Electric use,Internet of things,Machine learning,Ambient assisted living

论文评审过程：Received 19 October 2020, Revised 30 June 2022, Accepted 5 August 2022, Available online 10 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118454