Electricity Consumption Analysis and Applications Based on Smart Grid Big Data

With the background of active economies and rapid developments in Shanghai, it is desirable to give an insight into the huge electrical consumption data that is already collected from customers and stored in the electrical vendor side. These data is accumulating explosively due to the Smart Grid deployment of pervasive intelligent instruments. If the implicit information of the data could be figured out, for example, the customer behaviors in relation with energy consumptions, it will benefit the electrical company to optimize the energy offering efficiency and upgrade the customer service level. This paper presents parts of the results of the "Big Data Technical Research and Application on Customer Side" project conducted in State Grid Shanghai Municipal Electric Power Company (SMEPC). The results include detection and correction method of data outliers, characteristic analysis of customer behavior, correlation between different industries, and potential commercial application of smart grid data. It is believed that the application of big data in smart grid is quite appealing.