Artificial neural network based load forecasting

The paper serves as a tutorial review on artificial neural network (ANN) applications to short-term load forecasting (STLF). Various approaches of implementation of ANN-based load forecasting are demonstrated. Two case studies using ANN-based LF were developed, one is for power system operation and the other is for load forecasting of hybrid electric vehicles (HEV). The capability of the backpropagation (BP) training algorithm has been successfully demonstrated through the case studies. The design procedure for the two cases is demonstrated step-by-step and a sample result is presented.