This paper is concerned with the short-term load forecasting (STLF) in power system operations. It provides load prediction for generation scheduling and unit commitment decisions;therefore precise load forecasting plays an important role in reducing the generation cost and the spinning reserve capacity. In order to improve the precision of electric power system load forecasting, the hybrid algorithm which combines improved genetic algorithm with radial basis function (RBF) neural network is used in short-term load forecasting of electric power system in this paper. In the model, disruptive se...
