Extraction of statistical features for type-2 fuzzy NILM with IoT enabled control in a smart home

作者：

Highlights：

• Features extraction has better accuracy with lesser computation than most NILMs.

• Features with interval type-2 fuzzy can distinctly identify different appliances.

• IoT based control allows remote supervision which is faster than other NILMs.

• Unbalanced data is used for testing which is suitable for real-life applications.

• Identification of similar types of loads is also possible with better accuracy.

摘要

•Features extraction has better accuracy with lesser computation than most NILMs.•Features with interval type-2 fuzzy can distinctly identify different appliances.•IoT based control allows remote supervision which is faster than other NILMs.•Unbalanced data is used for testing which is suitable for real-life applications.•Identification of similar types of loads is also possible with better accuracy.

论文关键词：Appliance signature,Internet-of-things (IoT),Interval type-2 fuzzy system,Non-intrusive load monitoring (NILM),Smart-meter

论文评审过程：Received 11 June 2022, Revised 21 August 2022, Accepted 31 August 2022, Available online 5 September 2022, Version of Record 7 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118750