The design of the data preprocessing using AHP in automatic meter reading system

The smart grid is an electrical grid that uses information and communications technology to gather and act on information, such as information about the behaviors of suppliers and consumers, in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. In the smart grid environment, it is a very important factor that would telemeter the factory, home and building to measure the amount of electricity telemetering would measure the amount of electricity using network and IT technology, and transmit to the server. Using the telemetering, it would measure the real time electrical load, and control the electrical demand. There is a big difference between the data in the automatic meter reading system. It is coming to be important that the efficient data treatability between central control server and the remote automatic meter unit. The delay will be able to occur when controlling a numerous termination provision from server. We design and implement a total method that controls the mass data using the support vector machine(SVM) automatic meter reading system. SVM performs classification by constructing an N-dimensional hyperplane that optimally separates the data into two categories. When the server handle the data from automatic meter reading system, we use the automatic meter reading system’s priority using SVM algorithms. In this paper, we propose a method in the remote meter reading data, when processed using SVM and Packet Priority Algorithm using AHP data preprocessing. In Remote meter reading data, the data preprocessing is used to obtain the weights using the AHP. It would be increase the server's efficiency and accuracy.