Today we see various small automated devices
that are used to regulate the energy consumption in households.
Most of these devices work autonomously on a specific set of
appliances or only for specific necessities, such as heating or
cooling. The proposed smart energy solutions are focused on
gathering datasets of the historical data for energy consumption
and then propose different algorithms for analysing these
In this paper, we investigate the possibility of using a new
Smart-ECO model, consisting of a smart device, which is
running its own smart algorithm. We will conduct analysis on
real-time household dataset, in order to optimize the electricity
consumption per appliance. The proposed model is based on the
custom preferences and behavioural habits of the people that
live in the household and the inter-dependency of the appliances
that are active at the moment.