In this paper an Intelligent Energy Management System based on fuzzy logic is proposed. The objective of the proposed strategy is to optimize the cost saving for the end consumer by determining the share of the power drawn from the grid or the Energy Storage Unit for each hour of the day, because the price of the energy varies each hour depending on the demand and is determined a day before. The strategy is based on Mamdani's Fuzzy Inference System. The proposed design will also avoid overloading the grid during the periods of high demand by shifting the load to the ESU.