Cost of cement producing all over the world depends on to the level of wages, energy cost and availability of raw materials. By investigating financial statements of various companies at the stock market, the share of electrical and fuel costs are nearly 27 percent of total costs and this plays the important role in right management of energy consumption. In this regard mathematics modeling and finding optimum points based on effective factors is very important. According to data recording equipment operation and energy consumption and corresponding database, using data mining techniques to create models of energy consumption is possible. In this paper, using clustering as a data mining techniques, to create a descriptive model has been paid to finding the best way through which the Department of kiln operation, to optimize energy consumption. With the implementation of the strategy obtained from the descriptive model, nearly 5 percent on average, electrical energy per ton of product (Kwh / ton) and average thermal energy (kcal / kgcli) at the rate of 4.57 percent as both will be reduced.