A novel calculation method for the line losses based on support vector machine

In order to improve the accuracy of line losses calculation, and reducing the time-consumption calculation, this paper proposed a novel calculation based on support vector machine for line losses. This paper used support vector machines as the computational model to cause the complex mapping relationship between the original inputs and outputs can be obtained by training, thus greatly reducing the computation and reducing the time-consumption. By setting the SVM kernel function and a number of parameters, the calculation accuracy can be significantly improved. Compared with traditional methods, the calculation method based on support vector machines in reducing the calculation errors and time-consumption has better performances.