Reforming home energy consumption behavior based on mining techniques : a collaborative home appliances approach

Abstract EN

More efficient energy consumption has become one of the strategic objectives all over the world.

not only is it the obligation of enterprises but should also be the obligation of all citizens.

focusing on individuals' energy consumption, a vital approach for saving energy is a collaboration strategy which aims at sharing home appliances for best usage.

in this research, an approach is proposed for recommending a collaboration plan for adjacent houses in different perspectives, to share appliances, thus minimizing the consumption rate.

the research adopts mining techniques in order to explore the required associations targeting to build a road map for appliance consumption.

this is performed through a formal representation to the contributed stakeholders and their relations, representing the relations and the required associations in a semantic network representation, with each stage being discussed in detail.

the research applied the experiment to two of the benchmark datasets the references of which are mentioned.

all stages are applied and associations are explored with confidence above 90%, and the results confirmed the applicability of the proposed approach.