Abstract:
Appliance-Load Monitoring (ALM) is essential for
several demand-response (DR) programs. The techniques used for
this purpose are broadly classified into two types: 1) Intrusive
Load Monitoring (ILM), and 2) Non-Intrusive Load Monitoring
(NILM). This paper proposes a semi-intrusive load monitoring
(SILM) technique to exploit the bests of both. The method
does not use any disaggregation algorithm; instead, it’s an
instrumentation approach to monitor the power consumption
of appliances. First, it groups all appliances of a residential
house in some clusters and then monitors those, in near realtime, using only one sensing-unit per cluster. A lab-scale testbed
is developed to verify the claims of the proposed method. Test
results demonstrate the monitoring and controlling capability and
prove the cost-effectiveness of the technique. Raspberry Pi is used
as the programming platform along with Python programming
language.
