Application of Artificial Neural Network for Short Term Load Forecasting in Electrical Power System

Application of Artificial Neural Network for Short Term Load Forecasting in Electrical Power System

ABSTRACT

    This paper presents a method for short term load forecasting in eectric power system using artificial neural network. A multilayered feed forward network with back propagation learning algorithm is used because its good generalising property. The input to the neural network is in terms of past load data which was heuristically chosen such that they reflect the trend, load shape as well as some influence of weather. The weather data is not used to train the metwork. The network is trained to predict one hour ahead load forecasting. The generalisation capability of the neural network is also studied. Simulation results using the system data are presented.