Non Intrusive Load Monitoring (NILM)

To advance real-world applications of non-intrusive load monitoring (NILM), we propose the CMTMU dataset—an innovative dataset that simulates realistic residential power consumption scenarios involving both multiple appliance types and multiple units of the same type. Existing NILM datasets largely overlook such complexity, limiting model generalizability. The CMTMU dataset is constructed by applying an offset-overlay technique to REFIT data, enabling the simulation of concurrent multi-unit appliance usage.

We introduce a novel dataset containing a total of 61 distinct HEAs. The proposed appliances (e.g. fans, fridges, washers, etc.) are of different kinds, ages, brands and power
levels. They have been recorded in steady-state conditions in a French 50 Hz electrical grid. The measurement setup consists of an AC current probe (E3N Chauvin Arnoux) with a 10 mV/A sensitivity and a differential voltage probe with