Tariff calculation using hybrid smart energy meter and fuzzy inference system

In the modern scenario various load forecasting techniques are used by which commercial and residential loads are known. It could be maintained through forecasted data in relation with supply and demand. In case the demand is less than the supply the unit needs to be shut down or kept in standby mode, resulting in an increase of total cost of generation. Thus, it is important to divide the load in various time intervals such that the congestion on the generating unit can be reduced. The proposed hybrid smart energy meter (HSEM) scheme focuses on encouraging the consumers by providing low unit price during the non-peak hours and high price at peak hours. The presented scheme also aims to reduce the tariff amount at consumer ends. The FIS based proposed scheme has been validated and compared with conventional scheme.