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It incorporates the appliance time scheduling with appliance\u2010specific power dispatch. The optimization is aimed at minimizing energy cost, maximizing renewable energy penetration, and increasing user satisfaction over a finite horizon. Nonlinear objective functions and constraints, as well as discrete and continuous decision variables, are involved. To solve the proposed mixed\u2010integer nonlinear programming problem at a large scale, a competitive swarm optimizer\u2010based numerical solver is designed and employed. 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