Artificial neural network short-term electrical load forecasting techniques

This paper presents some practical techniques for artificial neural network short-term load forecasting problems. The model described in this paper is a backpropagation based multi-layer perceptron including temperature factor. In order to expedite the training process, variable learning rate method and quasi-Newton method are employed. This paper also provides intelligent treatment to holidays and weekends in order to improve the forecasting accuracy.