Smart meter data analysis

This paper presents a thorough analysis of 15-minute residential meter data sets to identify possible value propositions of smart meter measurements. Meter measurements of 50 houses were used to derive a few key data signatures for several target applications such as identifying demand response potentials, detecting abnormal load behaviors, and fault diagnosis. Results showed that for different applications, the communication needs from meters to control centers, data storage capabilities, and the complexity of data processing intelligence varies significantly. Therefore, it is important to build a dynamic data signature database and optimize the distribution of data processing capability between local devices and control centers to avoid communication congestion and to identify problems early. This paper also demonstrates that highresolution smart meter data can make distribution power grids more economical, reliable, and resilient.