Residential Electricity Consumption Behavior Analysis and Intelligent Demand Response Strategy

In view of the problems faced by the analysis of electricity consumption behavior, such as insufficient utilization of electricity consumption information and so on, this paper excavates the electricity consumption habits hidden in the residential electricity consumption data. First, we preprocess the electricity consumption data. Then, the electricity consumption data is processed by cluster analysis to distinguish the resident electricity consumption behavior. Finally, we propose a demand response strategy based on load classification and coordination. The effectiveness of this strategy is verified by simulation analysis. The results show this strategy can realize the intelligent electricity consumption management and achieves the purpose of peak shaving and valley filling.