The growing complexity of energy systems enables new options to the end users. Nowadays there are “Smart homes” which are buildings what are equipped with smart meters, advanced communication facilities, sensors and actuators. These Smart homes help to save energy, costs and reduce the CO2 emission. To facilitate these goals, energy efficiency policies need to be designed and recommendation to the end user.

This work is divided into two parts, at first, to find out which energy efficiency policies are justifiable and applicable in various contexts, and define a rule set of them to be recommended to the end users. For the recommendation, various aspects have to be considered, for example, how many people live in the household. The second part will be a state of the art analysis how these energy efficiency policies can be modeled, stored and processed with semantic technologies and a selection of a suitable solution.