Technique for indirect analysis of domestic power consumers based on power pattern recognition for smart energy metering

The current paper presents an approach for measuring energy behavior of domestic power consumers based on power pattern recognition. This approach can be implemented into a central smart energy meter that will be able to identify the energy consumed by each particular power appliance. The suggested approach is based on recognizing the transient power change that occurs during the turning `on´ and `off´ electric devices. This transient power change is then compared against pre-set patterns, where the different devices are recognized using fuzzy logic. The approach is tested in simulation and proves functional for most electric appliances. Implementing it together with a smart energy meter forms an intelligent system that allows users and operators to estimate the contribution of each electric device to the total energy consumption. The advantage of so formed system is that only a single central measuring is required, omitting the necessity of installing a meter to each device.