Next day peak load forecasting using an artificial neural network

This paper presents a method of next day peak load forecasting using an artificial neural network (ANN). The author combines the DSC search method (Davis, Swann, Campey search method) with the backpropagation learning algorithm (Bp) to reduce the training times and avoid converging at local minima as much as possible. The forecasting results by ANN is as good as human experts results and is better than the forecasting results by the regression model. The training times by the author´s approach are less than that by the pure backpropagation in some cases.