There has been an effort for a few decades to keep energy consumption at a minimum
or at least within a low-level range. This effort is more meaningful and complex by including a
customer’s satisfaction variable to ensure that customers can achieve the best quality of life that could
be derived from how energy is used by different devices. We use the concept of Shapley Value from
cooperative game theory to solve the multi-objective optimization problem (MOO) to responsibly
fulfill user’s satisfaction by maximizing satisfaction while minimizing the power consumption, with
energy constrains since highly limited resources scenarios are studied. The novel method uses the
concept of a quantifiable user satisfaction, along the concepts of power satisfaction (PS) and energy
satisfaction (ES). The model is being validated by representing a single house (with a small PV
system) that is connected to the utility grid............
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