Abrupt Change Detection of Home Electrical Appliance Signals Using Mathematical Morphology Gradient

Autor: Zhaoxia Jing, François Auger, Huu Kien Bui, Lu Zhang, Xinglei Han, Sarra Houidi

Publikováno v: 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia)
2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), May 2019, Chengdu, France. pp.726-730, ⟨10.1109/ISGT-Asia.2019.8881110⟩

This paper presents an Abrupt Change Detection (ACD) algorithm based on Mathematical Morphology Gradient (MMG) for Non-Intrusive Load Monitoring (NILM). In the present research of MMG, it is focused on filtering the original signals rather than locat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8181e788d00a733fe1426fecc46731dc
https://doi.org/10.1109/isgt-asia.2019.8881110