Application of Gray Support Vector Machine Combination Model in Energy Prediction

Energy is very important for the world, so we use the grey support vector machine combination model to predict energy has great research significance. In order to improve the accuracy and scope of the application of grey prediction, we combine the grey prediction model with the support vector machine, and use the support vector machine to calculate the values of parameters a and b of the grey prediction model, the final result of parameter a and b is 0.43528 and 6.9644, so that the grey prediction model has the intelligent effect, which is suitable for large-scale data and reduces prediction error, the range of our prediction results is between [207.4237, 255.2898], and the range of relative error we predict is just between [0.001715, 0.009801].