Smart distribution grids with renewable energy-based generators and demand response resources (DRR) requires accurate state estimates for real-time control and scheduling. The state estimation of switching networks usually depends on the measurement of smart meters. However, increase of measurements in the physical grid can enforce significant stress not only on the communication infrastructure but also in the control algorithms. Therefore, a method for analyzing real-time data of smart meters required for low-voltage distribution networks and its application in state estimation are proposed. Combinations of measurement data are also discussed to reduce the stress caused by the large amount of data in the state estimation problem. The validity of the method is verified by experiments.