This paper deals with the application of Heuristic

and Genetic Algorithms to solve the demand planning problem in

smart homes, in order to reduce the total monetary value of

consumed energy or offset the seasonality based electric

generators renewable sources such as wind and solar generators.

The demand management application takes into account the

presence of distributed generation, time-differentiated prices

(White Tariff), priority of loads and prepaid rate.-This paper deals with the application of Heuristic

and Genetic Algorithms to solve the demand planning problem in

smart　homes,　in　order　to　reduce　the　total　monetary　value　of

consumed　energy　or　offset　the　seasonality　　based　electric

generators renewable sources such as wind and solar generators.

The　demand　management　application　takes　into　account　the

presence　of　distributed　generation,　time-differentiated　prices

(White　Tariff),　priority　of　loads　and　prepaid　rate.