Analysis of Electricity Consumption Behavior of Air Conditioning based on the Perspective of Power Demand Response

In China, the rapid growth of air conditioning load brings great pressure to the safe operation of power grid in summer. As the proportion of commercial buildings in summer peak load is relatively considerable, except for industrial outdoor, commercial buildings are the only second choice with considerable potential to participate in demand respone projects. However, it has not yet realized to accurately grasp the user's air conditioning use habits and develop personalized demand response strategies to fully tap the potential of air conditioning load scheduling and improve the system load rate. Based on the big data of air conditioning use in Nanjing and Tianjin, this paper use clustering algorithm to analysis four typical air conditioning use behaviors in summer and five typical air conditioning use behaviors in winter, which provides support for accurate user selection and strategy formulation of air conditioning demand response.