Mining Temporal Patterns to Discover Inter-Appliance Associations Using Smart Meter Data

Abstract

With the emergence of the smart grid environment, smart meters are considered one of the main key enablers for developing energy management solutions in residential home premises. Power consumption in the residential sector is affected by the behavior of home residents through using their home appliances. Respecting such behavior and preferences is essential for developing demand response programs. The main contribution of this paper is to discover the association between appliances’ usage through mining temporal association rules in addition to applying the temporal clustering technique for grouping appliances with similar usage at a particular time. The proposed method is applied on a time-series dataset, which is the United Kingdom Domestic Appliance-Level Electricity (UK-DALE), and the results that are achieved discovered appliance–appliance associations that have similar usage patterns with respect to the 24 h of the day.

An efficient algorithm for extracting appliance-time association using smart meter data

“…In this regard, association findings should have an exhibition period that reveals its validity. The achieved results conducted the following observations:Appliances with thermostat component such as fridge and freezer are always active during the 24 hours and are not controlled by home residents.Appliances that are solar powered will be active during the morning hours.Appliances with similar usage patterns reveal inter-appliance associations indicating the preference of being used together (Osama et al., 2019). Household characteristics can be discovered from appliances usage as observed in house 2.…”

“…Appliances with similar usage patterns reveal inter-appliance associations indicating the preference of being used together (Osama et al., 2019).…”

Energy Consumption Patterns and Inter-Appliance Associations using Data Mining Techniques

“…During each fraction of time, the device will be considered active with the value 1 and 0 otherwise. To calculate the utility value of each device, we use the following formula [20]:…”