  The need for reducing our energy consumption footprint and the increasing
number of electric devices in today's homes is calling for new solutions that
allow users to efficiently manage their energy consumption. Real-time feedback
at device level would be of a significant benefit for this application. In
addition, the aging population and their wish to be more autonomous have
motivated the use of this same real-time data to indirectly monitor the
household's occupants for their safety. By breaking down aggregate power
consumption into its components, Non-Intrusive Load Monitoring provides
information on individual appliances and their current state of operation.
Since no additional metering equipment is required, residents are not
confronted with intrusion into their familiar environment. Our work aims to
depict an architecture supporting non-intrusive measurement with a smart
electricity meter and the handling of these data using an open-source platform
that allows to visualize and process real-time data about the total energy
consumed. As a case study, we describe a series of measurements from common
household devices and show how abnormal behavior can be detected.
