  Energy disaggregation determines the energy consumption of individual
appliances from the total demand signal, which is recorded using a single
monitoring device. There are varied approaches to this problem, which are
applied to different settings. Here, we focus on small and medium enterprises
(SMEs) and explore useful applications for energy disaggregation from the
perspective of SMEs. More precisely, we use recurrence quantification analysis
(RQA) of the aggregate and the individual device signals to create a
two-dimensional map, which is an outlined region in a reduced information space
that corresponds to 'normal' energy demand. Then, this map is used to monitor
and control future energy consumption within the example business so to improve
their energy efficiency practices. In particular, our proposed method is shown
to detect when an appliance may be faulty and if an unexpected, additional
device is in use.
