Data analysis of the smart meters and its applications in Tatung University

The management of big data for business analytics is one of the important technologies in the world, especially data from smart meters giving equipment and devices power usages in industries and in homes to give saving energy, and reducing environmental pollution and flourish. Therefore, the infrastructure of two-way communication of the smart grid plays an important role to monitor real-time power usages in the power system. In this paper, data analysis of the smart meters using power usages fuzzy system in the demonstrative field of Tatung University is proposed. The meters read the load information corresponding to the equipment or devices, and then send the information to collectors through the wireless ZigBee and wired G3PLC. The collectors transfer data to the Meters Data Management System (MDMS), and then, MDMS sends data as XML files to the server by Internet for analysis. PHP embedded into Joomla links the database and display of the server dynamically, and resolves the XML file for catching data including CustomerID, MeterID, RecordDate, KW, KVAR, power factor (PF), and Status. Combining CSS and Google Chart API can support enhancement in reading meters by different data reading types and charts in power usages variation real-time, and by comparing the values displayed on the screen and the actual meters.