Designing Decision Maker in a Smart Home for Energy Consumption Optimization Using Fuzzy Modeling

existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. According to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amount of energy saving, monitoring and automation of electricity grids. These grids give necessary information about the cost of power consumption to the users and it is possible that subscribers change their consumption power amount based on a balance between requested power and electricity grid. Since smart home in a form of environment where all control systems were designed in a pre-defined logical framework, so it can be introduced as a solution to reduce energy consumption through controlling equipment based on function schedule charts. In this paper, an approach has been presented to optimize energy consumption which decision maker model is designed in order to reduce cost and to increase user utility. Indeed designed home energy management system select optimum duration about how to use the equipment by using fuzzy modelling.