Monitoring System for a Single Aged Person by Using Smart Meter  Demonstration Test We have been developing a monitoring system for a single aged person by using a smart meter. As a data acquisition system from a smart meter, we developed a palmsized device named Cube J which extracts instantaneous power consumption of a household. As monitoring algorithms, we developed three algorithms named Percentile method, Average method, and Fluctuation estimate method, on a basis of household electricity consumption. And we made a prototype monitoring system with the algorithms and the device. Then we installed the systems at actual five aged households and began the demonstration test. The results of the test suggested that Fluctuation estimate method was the best for practical purposes.

Flexible eventdriven measurement technique for electricity metering with filtering Nonuniform, eventdriven sampling of signals can be advantageous for different applications. In this paper, we focus on eventbased sampling strategy for electricity metering purposes. Specifically, we propose an improvement in the enhanced eventdriven metering (EDM) technique introduced by Simonov et al. Our solution provides additional flexibility on the types of measurements to be sent, by including the option to reduce the sending of consecutive measurements. Numerical results are presented for 4 different open databases of electricity consumption and consistently show that, in relation to the other options, our proposed strategy leads to both: (i) reduction in the amount of measurements sent, and (ii) improvements on the signal reconstruction by decreasing its reconstruction error. These two aspects are extremely useful in a scenario of massive deployment of measurement devices.