Abstract:
Knowing the power consumption of individual
household appliances is useful for end-user as well as utilities.
There are two ways for appliance load monitoring (ALM),
namely intrusive load monitoring (ILM) and non-intrusive load
monitoring (NILM). This paper focuses on the NILM approach,
and discusses a simple yet effective method to improve its
accuracy by constructing a better knowledge-base. The proposed
methodology is initially verified with the simulation using the
Reference Energy Disaggregation Data (REDD) dataset, and
later tested on a lab-scale hardware setup as well. Test results
reveal that careful construction of knowledge-base can increase
the performance of NILM algorithms. MATLAB is used as the
programming platform
