Comparison of Random Forest and SVM for electrical short-term load forecast with different data sources

There is always argument about which machine learning algorithm is the best one for electrical load forecast. Here in this paper, we compare two open-source machine learning algorithm SVM(Support Vector Machine) and RFR(Random Forest Regression). We evaluate their difference by implementing them into different data sets. We clarify that both SVM and RFR are excellent choices for electrical load forecast, however, their good performance is parameter and data dependent. Parameter setting is more important for SVM than RFR.