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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 datasets. 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. DOI: http://dx.doi.org/10.5755/j01.eee.21.6.13771
Malekian et al. (Fri,) studied this question.