Day ahead appliance scheduling with renewable energy integration for smart homes

In this paper, a residential appliance scheduling problem is addressed. Usually, the householders main attention is focused on reducing the amount of money put into the energy suppliers pocket without affecting the comfort level. The proposed model aims at scheduling the home appliances in such a way the cost and discomfort are reduced. The problem is formulated as a mixed integer linear programming in which the decision variables are the optimal starting time of the appliances. The model is simulated under a day-ahead electricity pricing for three cases: traditional user, smart user, and smart prosumer. Simulation results show that the proposed technique optimally schedules the appliances so that the electricity payments is reduced and the users comfort is increased.