Research on the optimization strategy of customers' electricity consumption based on big data

Current power systems face significant challenges in supporting large-scale access to new energy sources, and the potential of existing flexible resources needs to be fully explored from the power supply, grid, and customer perspectives. This paper proposes a multi-objective electricity consumption optimization strategy considering the correlation between equipment and electricity consumption. It constructs a multi-objective electricity consumption optimization model that considers the correlation between equipment and electricity consumption to maximize economy and comfort. The results show that the proposed method can accurately assess the potential for electricity consumption optimization and obtain an optimal multi-objective electricity consumption strategy based on customers' actual electricity consumption demand.