One major factor that can influence sustainable living of people is the understanding of
energy data consumption to achieve behavioral change which in further will lead to minimization of energy expenses as well as decreasing the waste footprint to the climate.
Energy disaggregation tries to enhance the process of leaning the energy behavior of the
user by categorizing the total consumption of a household into appliance level consumption. This study aims to develop an energy disaggregation system that will produce recommendations on which actions could be taken to minimize the energy consumption of
the household based on the final output of the disaggregation process.
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