Evaluation of a demand response online algorithm on the costs sustained by the user

The Demand Response (DR) algorithm is a technique that allows users to reduce their electricity consumption during peak hours, thereby reducing their overall energy costs. This study aims to evaluate the impact of the DR algorithm on the electrical costs sustained by the user. The research was conducted by analyzing the energy consumption patterns of a group of residential users with and without the implementation of the DR algorithm in their homes. The results of the study indicate that the implementation of the DR algorithm resulted in a significant reduction in the electrical costs sustained by the users. The study also found that the effectiveness of the DR algorithm was dependent on various factors such as the type of appliance, the time of day, and the user's behaviour. Overall, the study demonstrates that the DR algorithm is an effective tool for reducing energy costs and can be optimized through user participation and engagement. The findings of this research can help policymakers and energy providers to develop more effective demand response programs that benefit both users and the grid.