This article presents simulation scenarios of demand response (DR) for incentives based on the "day before." Its main objective is to help power systems during peak demand hours and also during contingencies. This study is essential for the following reasons: (1) A short DR integration overview is performed on consumers' time-series responses to prices based on the "day before" transaction scheme. (2) It provides preferred options for a solution that reflects the uncertainty caused by volatile electricity market prices and demand in the decision-making problem. Through computational experiments (Gamside software), we demonstrate the validity of the data obtained. We achieved active participation based on the “day before” work scheme in DR. 100% coverage of the demand was achieved for each hour in percentages from 25% to 100% in optimization case studies. The maximum capacities of contribution to the grid were from 2500 to 6000 kW/h. This allowed having inputs for decision-making by introducing the rational response of the consumer and the agents of the energy integrator.