Dynamic Time Warping and FFT: A Data Preprocessing Method for Electrical Load Forecasting
For power suppliers, an important task is to accurately predict the short-term load. Thus many papers have introduced different kinds of artificial intelligent models to improve the prediction accuracy. In recent years, Random Forest Regression (RFR) and Support Vector Machine (SVM) are widely used for this purpose. However, they can… Read full abstract & cite →