The emission reduction of energy-intensive enterprises has become increasingly important due to the goal of carbon dioxide peaking. While ensuring economic performance, how to reduce the demand charge is an important part to optimize electrical consumption. However, the problem is hard to consider in the short-term period because the monthly demand charge may increase due to the previous strategies. Based on the peak load shifting method, this paper proposes a short-term scheduling problem with the measurement of the slip type demand which combines the short-term forecast data with day-ahead forecast data to introduce the effect of future demand. The problem is formulated into a mixed integer linear programming problem with the objective of minimizing the economic cost. Numerical results show the demand charge can be reduced by 7.97% with the short-term scheduling strategies, and the forecast demand can be well used in short-term regulation decisions.