Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
We develop an optimal LS-SVM model for Turkeys electricity consumption forecasting. We compare the obtained results with the results from ANN and regression model. The LS-SVM model has achieved more successful results than ANN and regression models. The analysis results indicate that the LS-SVM model can be used effectively.
regression analysis least square support vector machines electricity consumption forecasting artificial neural network